[{"data":1,"prerenderedAt":3418},["ShallowReactive",2],{"home-featured-hi":3,"home-latest-hi":3152},[4,309,1234,2676],{"_path":5,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":9,"description":10,"date":11,"author":12,"tags":13,"readingTime":16,"body":17,"_type":303,"_id":304,"_source":305,"_file":306,"_stem":307,"_extension":308},"\u002Fhi\u002Fblog\u002Ftop-quantum-computing-companies-2026","blog",false,"","जुलाई 2026 की शीर्ष क्वांटम कंप्यूटिंग कंपनियां, रैंकिंग सहित समझाई गईं","जुलाई 2026 में वास्तव में मायने रखने वाली क्वांटम कंप्यूटिंग कंपनियों की एक ज़मीनी रैंकिंग: वास्तविक राजस्व, वास्तविक हार्डवेयर उपलब्धियां, और वास्तविक नकदी स्थिति, न कि प्रेस-रिलीज़ वाला उत्साह। IonQ के आंकड़े उसका स्थान सही ठहराते हैं। Rigetti के आंकड़े अभी अपने समकक्षों तक नहीं पहुंचे हैं।","2026-08-01","FreeQuantumComputing",[14,15],"Industry","Hardware",12,{"type":18,"children":19,"toc":288},"root",[20,28,42,49,70,76,81,87,92,113,118,124,137,143,148,154,159,164,170,175,181,186,192,197,203,208,214,253,259],{"type":21,"tag":22,"props":23,"children":24},"element","p",{},[25],{"type":26,"value":27},"text","अधिकांश \"शीर्ष क्वांटम कंप्यूटिंग कंपनियां\" सूचियां या तो हेडलाइन क्यूबिट संख्या के आधार पर रैंक करती हैं, या इस आधार पर कि किसी कंपनी ने हाल ही में कितनी हालिया प्रेस विज्ञप्ति जारी की है। इनमें से कोई भी बहुत कुछ नहीं मापता। बिना फिडेलिटी आंकड़े के जुड़ी क्यूबिट संख्या यह नहीं बताती कि कोई मशीन उपयोगी काम करती है या नहीं, और प्रेस विज्ञप्ति मार्केटिंग बजट मापती है, हार्डवेयर रोडमैप नहीं।",{"type":21,"tag":22,"props":29,"children":30},{},[31,33,40],{"type":26,"value":32},"यह रैंकिंग इसके बजाय तीन चीज़ों का उपयोग करती है: प्रदर्शित तकनीकी प्रगति (फिडेलिटी, लॉजिकल क्यूबिट, स्वतंत्र रूप से पुनरुत्पादनीय परिणाम, सिर्फ हेडलाइन दावे नहीं), व्यावसायिक कर्षण (राजस्व, अनुबंध, बैकलॉग), और वित्तीय स्थिरता (बर्न रेट के मुकाबले नकदी स्थिति)। जहां किसी आंकड़े का एकमात्र स्रोत कंपनी का अपना दावा है, वहां यह स्पष्ट रूप से बताया गया है। हमारी ",{"type":21,"tag":34,"props":35,"children":37},"a",{"href":36},"\u002Flandscape",[38],{"type":26,"value":39},"पूरी उद्योग निर्देशिका",{"type":26,"value":41}," हर श्रेणी में 60 से अधिक कंपनियों को सूचीबद्ध करती है। यह लेख उसके ठीक उलट है: एक छोटी, स्पष्ट राय वाली सूची कि वास्तव में कौन आगे है, और सबसे ज़्यादा शोर मचाने वाले नाम क्यों नहीं हैं।",{"type":21,"tag":43,"props":44,"children":46},"h2",{"id":45},"_1-ibm-quantum",[47],{"type":26,"value":48},"1. IBM Quantum",{"type":21,"tag":22,"props":50,"children":51},{},[52,54,60,62,68],{"type":26,"value":53},"IBM उद्योग में सबसे व्यापक प्लेटफ़ॉर्म बना हुआ है, और जुलाई 2026 उसके सबसे मज़बूत महीनों में से एक रहा: तीन अलग-अलग साझेदारों और तीन अलग-अलग सत्यापन रणनीतियों के साथ, एक ही दिन तीन अलग-अलग क्वांटम एडवांटेज परिणामों की घोषणा की गई। हमने ",{"type":21,"tag":34,"props":55,"children":57},{"href":56},"\u002Fblog\u002Fibm-quantum-advantage-triple-announcement-2026",[58],{"type":26,"value":59},"पूरी घोषणा यहां कवर की है",{"type":26,"value":61},"। Nighthawk प्रोसेसर (120 क्यूबिट, 218 ट्यूनेबल कपलर) पहले से ही उपयोग में है, और IBM का सार्वजनिक रोडमैप मध्यवर्ती सिस्टम्स की एक श्रृंखला के ज़रिए 2029 तक फॉल्ट टॉलरेंस का लक्ष्य रखता है, और qLDPC-शैली के कोड की ओर बढ़ रहा है जो सरफेस कोड की तुलना में एरर-करेक्शन ओवरहेड को लगभग 90% तक कम करते हैं। IBM का Open Plan भी किसी के लिए भी मुफ्त में असली हार्डवेयर पर सर्किट चलाने का सबसे आसान तरीका बना हुआ है, जो IBM को इस बात के केंद्र में रखता है कि अगली पीढ़ी के क्वांटम डेवलपर्स कैसे सीखते हैं। यदि आप इसे खुद आज़माना चाहते हैं तो हमारी ",{"type":21,"tag":34,"props":63,"children":65},{"href":64},"\u002Fblog\u002Fibm-quantum-free-tier-2026",[66],{"type":26,"value":67},"IBM Quantum फ्री टियर गाइड",{"type":26,"value":69}," देखें। IBM की कमज़ोरी उसकी व्यापकता का ही दूसरा पहलू है: एक साथ इतना कुछ होने के कारण, हर व्यक्तिगत परिणाम को उतनी गहन जांच नहीं मिलती जितनी उसे किसी छोटे, अधिक केंद्रित प्रतिस्पर्धी से मिलती।",{"type":21,"tag":43,"props":71,"children":73},{"id":72},"_2-google-quantum-ai",[74],{"type":26,"value":75},"2. 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IonQ",{"type":21,"tag":22,"props":88,"children":89},{},[90],{"type":26,"value":91},"शुद्ध क्वांटम हार्डवेयर कंपनियों में, IonQ के आंकड़े उद्योग में सबसे मज़बूत हैं, और यह एक तथ्यात्मक बयान है, प्रचारात्मक नहीं। 2026 की पहली तिमाही का राजस्व 6.47 करोड़ डॉलर तक पहुंचा, जो साल-दर-साल 755% अधिक है, पूरे साल का अनुमान बढ़ाकर 26-27 करोड़ डॉलर कर दिया गया है और शेष प्रदर्शन दायित्व 47 करोड़ डॉलर के हैं, जो 554% अधिक है। यह उम्मीद के सहारे चलने वाली कंपनी की प्रोफ़ाइल नहीं है। सरकारी कर्षण इसे साबित करता है: मिसाइल डिफेंस एजेंसी का एक अनुबंध वाहन जिसकी सीमा 15,100 करोड़ डॉलर तक है (एक सीमा, खर्च की गारंटी नहीं, लेकिन फिर भी असामान्य रूप से बड़ी), अप्रैल 2026 में एक नया DARPA अनुबंध, और दक्षिण कोरिया के KISTI संस्थान के साथ एक सॉवरेन क्वांटम-HPC समझौता।",{"type":21,"tag":22,"props":93,"children":94},{},[95,97,103,105,111],{"type":26,"value":96},"हार्डवेयर के मामले में, IonQ का ट्रैप्ड-आयन दृष्टिकोण Oxford Ionics अधिग्रहण से मिली \"स्मूथ गेट\" तकनीक से लाभान्वित होता है, जिसके बारे में कंपनी का कहना है कि यह पूर्ण ग्राउंड-स्टेट कूलिंग की ज़रूरत के बिना टू-क्यूबिट गेट फिडेलिटी को 99.99% से ऊपर ले जाती है, यह एक वास्तविक इंजीनियरिंग शॉर्टकट है अगर स्वतंत्र परीक्षण में यह सही साबित होती है। IonQ ने दिसंबर 2025 में एक डिकोडर परिणाम भी प्रकाशित किया (Beam Search, क्वांटम LDPC कोड के लिए), जिसमें मानक BP-OSD बेसलाइन की तुलना में लॉजिकल एरर रेट में 5.6 से 17 गुना कमी और एक साधारण CPU कोर पर एक मिलीसेकंड से कम डिकोडिंग का दावा किया गया है। अगर यह IonQ के अनुमान के अनुसार स्केल करता है, तो यह रीयल-टाइम डिकोडिंग की ओर उस FPGA और ASIC रास्ते से काफी सस्ता रास्ता है जिसे प्रतिस्पर्धी अपना रहे हैं, यह एक ऐसा विषय है जिस पर हम ",{"type":21,"tag":34,"props":98,"children":100},{"href":99},"\u002Fblog\u002Fquantum-error-decoding-bottleneck",[101],{"type":26,"value":102},"रीयल-टाइम डिकोडिंग बॉटलनेक",{"type":26,"value":104}," में गहराई से जाते हैं। और SkyWater Technology फाउंड्री अधिग्रहण, ",{"type":21,"tag":34,"props":106,"children":108},{"href":107},"\u002Fblog\u002Fionq-skywater-acquisition-explained",[109],{"type":26,"value":110},"जिसकी हमने विस्तार से जांच की है",{"type":26,"value":112},", IonQ को उसके क्यूबिट के आसपास के इलेक्ट्रोड, फोटोनिक्स, और कंट्रोल हार्डवेयर के लिए पूरी तरह घरेलू, रक्षा-स्वीकृत आपूर्ति श्रृंखला देता है, जो क्यूबिट भौतिकी से परे सरकारी खरीदारों के साथ एक वास्तविक लाभ है।",{"type":21,"tag":22,"props":114,"children":115},{},[116],{"type":26,"value":117},"इनमें से कुछ भी उस तरह स्वतंत्र रूप से सत्यापित नहीं है जिस तरह Google का थ्रेशोल्ड-से-नीचे परिणाम था। IonQ के फिडेलिटी, डिकोडर, और गेट-स्पीड दावे IonQ के अपने आंकड़े हैं। लेकिन व्यावसायिक और सरकारी कर्षण बाहरी रूप से रिपोर्ट किया गया और ऑडिट करने योग्य है, मार्केटिंग दावों से अलग, और इतनी युवा हार्डवेयर कंपनी के लिए केवल शोध फंडिंग के बजाय इस पैमाने पर वास्तविक राजस्व वृद्धि दिखाना दुर्लभ है। यह संयोजन, प्रदर्शित व्यावसायिक खिंचाव और एक सुसंगत हार्डवेयर रोडमैप, यही कारण है कि IonQ उन प्रतिस्पर्धियों से आगे रैंक करता है जिनके प्रयोगशाला परिणाम शायद तुलनीय या बेहतर हैं लेकिन जिनकी व्यावसायिक कहानी कहीं ज़्यादा कमज़ोर है।",{"type":21,"tag":43,"props":119,"children":121},{"id":120},"_4-quantinuum",[122],{"type":26,"value":123},"4. Quantinuum",{"type":21,"tag":22,"props":125,"children":126},{},[127,129,135],{"type":26,"value":128},"Quantinuum का Helios सिस्टम लगभग 96 भौतिक क्यूबिट से 48 एरर-करेक्टेड लॉजिकल क्यूबिट का दावा करता है, यानी 2:1 का अनुपात, जो अगर सही साबित होता है तो महत्वपूर्ण होगा, क्योंकि सुपरकंडक्टिंग हार्डवेयर पर सरफेस-कोड अनुमान आमतौर पर प्रति लॉजिकल क्यूबिट सैकड़ों या हज़ारों भौतिक क्यूबिट तक पहुंच जाते हैं। हमने ",{"type":21,"tag":34,"props":130,"children":132},{"href":131},"\u002Fblog\u002Fquantinuum-helios-logical-qubits-2026",[133],{"type":26,"value":134},"यहां बताया है कि यह अनुपात आखिर संभव कैसे है",{"type":26,"value":136},": ट्रैप्ड-आयन की ऑल-टू-ऑल कनेक्टिविटी उन नॉन-लोकल पैरिटी चेक्स को संभव बनाती है जिन्हें एक सपाट सुपरकंडक्टिंग चिप वायर नहीं कर सकती। Quantinuum 2026 में 1560 करोड़ डॉलर के मूल्यांकन पर सार्वजनिक हुई, जो कुछ महीने पहले की उसकी अंतिम निजी फंडिंग राउंड से 50% से अधिक ऊपर है, जिसमें Honeywell लगभग 48% वोटिंग पावर बरकरार रखता है। यह IPO प्रतिक्रिया बताती है कि बाज़ार तकनीकी कहानी पर भरोसा करता है। IonQ के फिडेलिटी दावों की तरह, यह 2:1 आंकड़ा भी वेंडर द्वारा रिपोर्ट किया गया है और अभी तक स्वतंत्र रूप से पुनरुत्पादित नहीं हुआ है।",{"type":21,"tag":43,"props":138,"children":140},{"id":139},"_5-d-wave",[141],{"type":26,"value":142},"5. D-Wave",{"type":21,"tag":22,"props":144,"children":145},{},[146],{"type":26,"value":147},"D-Wave एक अलग श्रेणी में आता है, गेट-मॉडल कंप्यूटेशन के बजाय एनीलिंग, और इसी वजह से इसे कम आंकना आसान है। 2026 की पहली तिमाही की बुकिंग साल-दर-साल लगभग 20 गुना बढ़कर 3.34 करोड़ डॉलर हो गई, जबकि मान्यता प्राप्त राजस्व तुलनात्मक रूप से छोटा, 29 लाख डॉलर रहा, जिसका मतलब है कि बैकलॉग वास्तविक है लेकिन मान्यता में देरी लंबी है। 58.8 करोड़ डॉलर की नकदी स्थिति उसे इसका इंतज़ार करने की गुंजाइश देती है। फ्लोरिडा अटलांटिक यूनिवर्सिटी और एक फॉर्च्यून 100 ग्राहक के साथ क्वांटम-क्लाउड एक्सेस के सौदे दिखाते हैं कि उसका खास क्षेत्र, ऐसी ऑप्टिमाइज़ेशन समस्याएं जो स्वाभाविक रूप से एनीलिंग पर फिट बैठती हैं, अभी भी सक्रिय व्यावसायिक मांग रखता है।",{"type":21,"tag":43,"props":149,"children":151},{"id":150},"_6-rigetti-computing",[152],{"type":26,"value":153},"6. Rigetti Computing",{"type":21,"tag":22,"props":155,"children":156},{},[157],{"type":26,"value":158},"Rigetti इस सूची की वह कंपनी है जहां कहानी और आंकड़ों के बीच का अंतर सबसे बड़ा है। इसका Cepheus-1, एक 108-क्यूबिट सुपरकंडक्टिंग सिस्टम, अप्रैल 2026 में सामान्य उपलब्धता तक पहुंचा, जो मूल 2025 की चौथी तिमाही के लक्ष्य से खिसक गया था, ट्यूनेबल-कपलर फिडेलिटी समस्याओं के कारण देरी हुई। शिप होने के बाद, रिपोर्ट की गई टू-क्यूबिट फिडेलिटी लगभग 99-99.1% रही, जो Rigetti के अपने 99.5% लक्ष्य से कम है और IonQ और Quantinuum दोनों के अपने-अपने प्लेटफॉर्म के लिए दावा किए गए आंकड़ों से काफी कम है। 2026 की पहली तिमाही का राजस्व 44 लाख डॉलर था, जो उसी तिमाही में IonQ के 6.47 करोड़ डॉलर का एक छोटा सा हिस्सा है। सार्वजनिक रिपोर्टिंग एक DARPA प्रोग्राम माइलस्टोन पर एक झटके का भी वर्णन करती है, जो एक ऐसी कंपनी पर दबाव बढ़ाता है जो इस बिंदु पर काफी हद तक अपने रोडमैप को खुद फंड कर रही है।",{"type":21,"tag":22,"props":160,"children":161},{},[162],{"type":26,"value":163},"एकमात्र वास्तविक ताकत बैलेंस शीट है: लगभग 56.9 करोड़ डॉलर नकद, कोई कर्ज़ नहीं, और लगभग 2.6 करोड़ डॉलर प्रति तिमाही की बर्न रेट, जो वास्तविक रनवे खरीदती है। यह सीधे तौर पर स्वीकार करने लायक है, क्योंकि एक मज़बूत नकदी स्थिति एक वास्तविक संपत्ति है, कोई सांत्वना पुरस्कार नहीं। लेकिन नकदी समय खरीदती है, प्रतिस्पर्धी स्थिति नहीं, और उन मापदंडों पर जो वास्तव में यह भविष्यवाणी करते हैं कि कोई क्वांटम कंप्यूटर उपयोगी काम करता है या नहीं, फिडेलिटी, लॉजिकल क्यूबिट प्रगति, स्वतंत्र व्यावसायिक कर्षण, Rigetti IBM, Google, IonQ, और Quantinuum के पीछे चल रहा है, उनके साथ नहीं। 1,000+ क्यूबिट की ओर उसका अपना सार्वजनिक रोडमैप, आंकड़ों के हिसाब से, एक समानांतर राह के बजाय एक बहु-वर्षीय पकड़ बनाने की कोशिश जैसा पढ़ा जाता है।",{"type":21,"tag":43,"props":165,"children":167},{"id":166},"_7-psiquantum",[168],{"type":26,"value":169},"7. PsiQuantum",{"type":21,"tag":22,"props":171,"children":172},{},[173],{"type":26,"value":174},"PsiQuantum का फोटोनिक, फॉल्ट-टॉलरेंस-प्रथम दृष्टिकोण सितंबर 2025 में 100 करोड़ डॉलर के सीरीज़ E राउंड में जुटा, और ऑस्ट्रेलियाई तथा क्वींसलैंड सरकार से लगभग 94 करोड़ ऑस्ट्रेलियाई डॉलर (लगभग 62 करोड़ अमेरिकी डॉलर) की प्रतिबद्धताएं हासिल कीं। इसके ब्रिस्बेन फैसिलिटी का निर्माण जून 2026 में शुरू हुआ, लेकिन डिलीवरी की समयसीमा मूल 2027 के लक्ष्य से खिसककर 2029 हो गई है। PsiQuantum ने कभी कोई कमर्शियल सिस्टम शिप नहीं किया है और इस बात पर सब कुछ दांव पर लगा रहा है कि एक फॉल्ट-टॉलरेंट मशीन बड़े पैमाने पर बनाए जाने पर पहली ही बार में काम करेगी, जो इस सूची के हर गेट-मॉडल प्रतिस्पर्धी से वास्तव में अलग जोखिम प्रोफ़ाइल है, जिनके पास आज (भले ही शोर वाला) काम करने वाला हार्डवेयर फील्ड में मौजूद है।",{"type":21,"tag":43,"props":176,"children":178},{"id":177},"_8-xanadu",[179],{"type":26,"value":180},"8. Xanadu",{"type":21,"tag":22,"props":182,"children":183},{},[184],{"type":26,"value":185},"Xanadu ने मार्च 2026 में Nasdaq और TSX पर लिस्टिंग की, 30.2 करोड़ डॉलर जुटाए, और इसका मॉड्यूलर फोटोनिक सिस्टम Aurora रीयल-टाइम एरर करेक्शन का दावा करता है, जो स्वतंत्र रूप से सत्यापित होने पर एक सार्थक तकनीकी कदम होगा। इसका PennyLane फ्रेमवर्क क्वांटम मशीन लर्निंग में सबसे व्यापक रूप से इस्तेमाल होने वाले ओपन-सोर्स टूल्स में से एक बना हुआ है, चाहे वह किसी भी हार्डवेयर को टारगेट करे, जो Xanadu को एक ऐसा इकोसिस्टम आधार देता है जो इस पर निर्भर नहीं करता कि उसकी अपनी चिप जीतती है या नहीं।",{"type":21,"tag":43,"props":187,"children":189},{"id":188},"_9-pasqal",[190],{"type":26,"value":191},"9. Pasqal",{"type":21,"tag":22,"props":193,"children":194},{},[195],{"type":26,"value":196},"Pasqal के न्यूट्रल-एटम दृष्टिकोण ने 34 करोड़ यूरो जुटाए और एक SPAC विलय को 200 करोड़ डॉलर के मूल्यांकन पर तय किया, जो 2026 की दूसरी छमाही में पूरा होने वाला है। इसका सार्वजनिक रोडमैप 2026 में 250-क्यूबिट एडवांटेज प्रदर्शन और अपने Vela तथा Centaurus सिस्टम्स के साथ 10,000+ क्यूबिट की ओर एक रास्ते का लक्ष्य रखता है। न्यूट्रल एटम अभी भी ट्रैप्ड आयन या सुपरकंडक्टिंग क्यूबिट की तुलना में व्यावसायिक रूप से शुरुआती चरण में हैं, लेकिन Pasqal की फंडिंग और सरकारी संबंध (विशेष रूप से यूरोप में) उसे उस पैमाने तक पहुंचने के लिए वास्तविक टिकाऊपन देते हैं।",{"type":21,"tag":43,"props":198,"children":200},{"id":199},"_10-quera-computing",[201],{"type":26,"value":202},"10. QuEra Computing",{"type":21,"tag":22,"props":204,"children":205},{},[206],{"type":26,"value":207},"QuEra ने जनवरी 2026 के एक Nature पेपर में 448 भौतिक क्यूबिट पर एन्कोड किए गए 96 लॉजिकल क्यूबिट की रिपोर्ट दी, एक ऐसा अनुपात जो, अगर Google के थ्रेशोल्ड-से-नीचे परिणाम जैसी जांच का सामना कर पाता है, तो QuEra की लॉजिकल क्यूबिट संख्या को Quantinuum के Helios परिणाम से आगे कर देगा। Google और SoftBank जैसे निवेशकों से 50.7 करोड़ डॉलर से अधिक की कुल फंडिंग उसे न्यूट्रल-एटम दृष्टिकोण को पैमाने की ओर आगे बढ़ाते रहने के संसाधन देती है।",{"type":21,"tag":43,"props":209,"children":211},{"id":210},"बाकी-का-क्षेत्र-संक्षेप-में",[212],{"type":26,"value":213},"बाकी का क्षेत्र, संक्षेप में",{"type":21,"tag":22,"props":215,"children":216},{},[217,223,225,230,232,237,239,244,246,251],{"type":21,"tag":218,"props":219,"children":220},"strong",{},[221],{"type":26,"value":222},"Atom Computing",{"type":26,"value":224}," एरर करेक्शन पर Microsoft के QuNorth समूह के साथ काम करते हुए, 2026 के अंत तक 1,200+ भौतिक क्यूबिट पर 50 लॉजिकल क्यूबिट हासिल करने का लक्ष्य रखता है। ",{"type":21,"tag":218,"props":226,"children":227},{},[228],{"type":26,"value":229},"IQM",{"type":26,"value":231}," ने BlackRock से 5 करोड़ यूरो जुटाए और 180 करोड़ डॉलर के SPAC मूल्यांकन तक पहुंचा, खुद को पहली EU-लिस्टेड शुद्ध क्वांटम हार्डवेयर कंपनी के रूप में स्थापित करते हुए, 13 ग्राहकों को पहले ही 21 सिस्टम बेच चुका है। ",{"type":21,"tag":218,"props":233,"children":234},{},[235],{"type":26,"value":236},"Infleqtion",{"type":26,"value":238}," फरवरी 2026 में NYSE पर लिस्ट हुई और 1,600 भौतिक क्यूबिट की 99.73% फिडेलिटी पर रिपोर्ट करती है। ",{"type":21,"tag":218,"props":240,"children":241},{},[242],{"type":26,"value":243},"Microsoft",{"type":26,"value":245}," ने जून 2026 में अपना Majorana 2 टोपोलॉजिकल क्यूबिट अपडेट शिप किया, क्यूबिट लाइफटाइम में 1,000 गुना सुधार का दावा करते हुए, एक ऐसा परिणाम जो अभी भी भौतिकी समुदाय की वास्तविक जांच का सामना कर रहा है, यह देखते हुए कि टोपोलॉजिकल क्यूबिट दावे ऐतिहासिक रूप से कितने विवादित रहे 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",{"type":21,"tag":398,"props":2244,"children":2246},{"className":2245},[],[2247],{"type":26,"value":2248},"provider.get_backend()",{"type":26,"value":2072},{"type":21,"tag":398,"props":2251,"children":2253},{"className":2252},[],[2254],{"type":26,"value":2255},"backend.run()",{"type":26,"value":2257},", stays the same. 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It is a real object subject to real physics, which means it drifts, absorbs stray energy, and loses its quantum state on a timescale measured in microseconds to seconds. That decay is ",{"type":21,"tag":34,"props":2723,"children":2725},{"href":2724},"\u002Fglossary\u002Fdecoherence",[2726],{"type":26,"value":2727},"decoherence",{"type":26,"value":2729},", and the ",{"type":21,"tag":34,"props":2731,"children":2733},{"href":2732},"\u002Fglossary\u002Ft1-t2-time",[2734],{"type":26,"value":2735},"T1 and T2 times",{"type":26,"value":2737}," that quantify it are among the few hardware specs worth reading closely.",{"type":21,"tag":22,"props":2739,"children":2740},{},[2741,2742,2751],{"type":26,"value":2714},{"type":21,"tag":218,"props":2743,"children":2744},{},[2745],{"type":21,"tag":34,"props":2746,"children":2748},{"href":2747},"\u002Fglossary\u002Flogical-qubit",[2749],{"type":26,"value":2750},"logical qubit",{"type":26,"value":2752}," is not hardware. It is a qubit's worth of quantum information spread across many physical qubits, arranged so that errors on individual members are detected and undone without ever measuring, and thereby destroying, the encoded state. IonQ describes logical qubits as software-defined, and that framing is a good one: the logical qubit is a construction that hardware supports rather than a thing you point to.",{"type":21,"tag":22,"props":2754,"children":2755},{},[2756,2758,2764,2766,2772,2774,2780],{"type":26,"value":2757},"The technique is ",{"type":21,"tag":34,"props":2759,"children":2761},{"href":2760},"\u002Fglossary\u002Fquantum-error-correction",[2762],{"type":26,"value":2763},"quantum error correction",{"type":26,"value":2765},", and our ",{"type":21,"tag":34,"props":2767,"children":2769},{"href":2768},"\u002Fblog\u002Funderstanding-quantum-error-correction",[2770],{"type":26,"value":2771},"companion post on QEC",{"type":26,"value":2773}," covers the mechanics: parity checks, ",{"type":21,"tag":34,"props":2775,"children":2777},{"href":2776},"\u002Fglossary\u002Fancilla-qubit",[2778],{"type":26,"value":2779},"ancilla qubits",{"type":26,"value":2781},", the surface code lattice. This post is about the accounting: what encoding costs, when it pays off, and what else fault tolerance demands beyond the encoding itself.",{"type":21,"tag":43,"props":2783,"children":2785},{"id":2784},"why-how-many-qubits-is-nearly-meaningless",[2786],{"type":26,"value":2787},"Why \"how many qubits?\" is nearly meaningless",{"type":21,"tag":22,"props":2789,"children":2790},{},[2791,2793,2798],{"type":26,"value":2792},"Here is the uncomfortable arithmetic. If your physical error rate is above the threshold of your error-correcting code, encoding does not help. The extra qubits and the extra gates needed to perform parity checks each introduce errors of their own. Add more of them and you add more noise than you remove. A headline of 1,000 physical qubits with mediocre fidelity is compatible with ",{"type":21,"tag":218,"props":2794,"children":2795},{},[2796],{"type":26,"value":2797},"zero",{"type":26,"value":2799}," logical qubits, not few, zero.",{"type":21,"tag":22,"props":2801,"children":2802},{},[2803],{"type":26,"value":2804},"Meanwhile a smaller, cleaner machine is sometimes strictly more useful. IonQ argues this point aggressively, claiming that a system of 100 physical qubits at 99.99% two-qubit gate fidelity would likely outperform a 10,000-qubit system of lower-quality qubits encoding 100 logical ones: on overhead, gate speed, universality, and energy. That's a vendor making a case for its own architecture and should be read as such, but the underlying logic is sound and widely accepted: quality compounds in a way that quantity does not.",{"type":21,"tag":22,"props":2806,"children":2807},{},[2808,2810,2816],{"type":26,"value":2809},"The compounding is the key mechanism. In a code that corrects one error, roughly speaking, halving the physical error rate quarters the logical error rate. In a code correcting two errors the same improvement gives about an eight-fold gain. IonQ makes this multiplicative argument explicitly, and it explains why hardware teams chase ",{"type":21,"tag":34,"props":2811,"children":2813},{"href":2812},"\u002Fglossary\u002Ffidelity",[2814],{"type":26,"value":2815},"fidelity",{"type":26,"value":2817}," improvements that look small in isolation. A 2x hardware win is a 4x or 8x win after encoding.",{"type":21,"tag":22,"props":2819,"children":2820},{},[2821,2823,2829,2831,2836],{"type":26,"value":2822},"This is also why single-number benchmarks keep failing the field. ",{"type":21,"tag":34,"props":2824,"children":2826},{"href":2825},"\u002Fglossary\u002Fquantum-volume",[2827],{"type":26,"value":2828},"Quantum Volume",{"type":26,"value":2830},", algorithmic qubits, gate counts: each captures a slice and hides the rest. We wrote about that measurement problem ",{"type":21,"tag":34,"props":2832,"children":2833},{"href":266},[2834],{"type":26,"value":2835},"in the context of EO 14413",{"type":26,"value":2837},", and it applies with full force here.",{"type":21,"tag":43,"props":2839,"children":2841},{"id":2840},"the-overhead-is-the-whole-story",[2842],{"type":26,"value":2843},"The overhead is the whole story",{"type":21,"tag":22,"props":2845,"children":2846},{},[2847],{"type":26,"value":2848},"How many physical qubits does one logical qubit cost? The honest answer is that it depends on two numbers you have to state together: your physical error rate and the logical error rate you're targeting.",{"type":21,"tag":22,"props":2850,"children":2851},{},[2852,2858],{"type":21,"tag":34,"props":2853,"children":2855},{"href":2854},"\u002Fresearch\u002Fshor-error-correction-1995",[2856],{"type":26,"value":2857},"Shor's 1995 code",{"type":26,"value":2859},", the first quantum error-correcting code ever written down, used nine physical qubits to protect one logical qubit against an arbitrary single-qubit error. That was a proof that the thing was possible at all. Before it, many physicists believed no-cloning made quantum computing hopeless in principle.",{"type":21,"tag":22,"props":2861,"children":2862},{},[2863,2865,2871],{"type":26,"value":2864},"Nine turned out to be optimistic for practical machines. ",{"type":21,"tag":34,"props":2866,"children":2868},{"href":2867},"\u002Fresearch\u002Fkitaev-anyons-1997",[2869],{"type":26,"value":2870},"Kitaev's 1997 work on anyons",{"type":26,"value":2872}," introduced topological codes, including the surface code, which stores information in global properties of a 2D lattice rather than in any individual site. Its great virtue is that every parity check involves only neighbouring qubits, which maps cleanly onto flat chips, and it tolerates physical error rates around 1%, high enough that real hardware plausibly reaches it.",{"type":21,"tag":22,"props":2874,"children":2875},{},[2876],{"type":26,"value":2877},"The price is scale. Surface code overhead grows with code distance, and realistic estimates for running a cryptographically relevant algorithm land at hundreds to a few thousand physical qubits per logical qubit, with total system requirements often quoted in the millions. Push your physical error rate down and that ratio falls fast. Let it drift up toward threshold and the ratio explodes. Overhead is not a fixed constant of the technology. It is a function of how good your hardware is.",{"type":21,"tag":22,"props":2879,"children":2880},{},[2881],{"type":26,"value":2882},"Newer code families are attacking the ratio directly. IonQ has promoted a bivariate bicycle variant it calls BB5, claiming an idle logical error rate around 5x10⁻⁵ using 50 physical qubits, roughly four times smaller than standard BB codes. Vendor-reported figures like that are worth tracking but not worth treating as settled until independently reproduced.",{"type":21,"tag":43,"props":2884,"children":2886},{"id":2885},"the-threshold-theorem-and-why-2024-mattered",[2887],{"type":26,"value":2888},"The threshold theorem, and why 2024 mattered",{"type":21,"tag":22,"props":2890,"children":2891},{},[2892,2894,2899],{"type":26,"value":2893},"The theoretical foundation under all of this is the ",{"type":21,"tag":218,"props":2895,"children":2896},{},[2897],{"type":26,"value":2898},"threshold theorem",{"type":26,"value":2900},". It says there exists a critical physical error rate. Below it, increasing the size of your code suppresses logical errors exponentially. You build them as small as you like by spending more qubits. Above it, the opposite: bigger codes are worse codes.",{"type":21,"tag":22,"props":2902,"children":2903},{},[2904],{"type":26,"value":2905},"For decades this was a theorem without an experiment. Every roadmap in the industry assumed the crossing was achievable. None had demonstrated it.",{"type":21,"tag":22,"props":2907,"children":2908},{},[2909,2911,2917,2919,2924],{"type":26,"value":2910},"That changed with ",{"type":21,"tag":34,"props":2912,"children":2914},{"href":2913},"\u002Fresearch\u002Fgoogle-below-threshold-2024",[2915],{"type":26,"value":2916},"Google's below-threshold result in 2024",{"type":26,"value":2918},". Running surface codes at distances 3, 5, and 7 on its 105-qubit Willow processor, the team observed each increase in code distance roughly ",{"type":21,"tag":218,"props":2920,"children":2921},{},[2922],{"type":26,"value":2923},"halving",{"type":26,"value":2925}," the logical error rate, the direction fault tolerance requires. Critically, the encoded logical qubit outlived the best individual physical qubit on the chip, which is the concrete test of whether error correction is a net win rather than an expensive way to add noise.",{"type":21,"tag":22,"props":2927,"children":2928},{},[2929],{"type":26,"value":2930},"It's hard to overstate the significance. That experiment converted large-scale quantum computing from an open physics question into a scaling and engineering problem. Engineering problems are hard, but they are a different category of hard.",{"type":21,"tag":43,"props":2932,"children":2934},{"id":2933},"different-hardware-different-arithmetic",[2935],{"type":26,"value":2936},"Different hardware, different arithmetic",{"type":21,"tag":22,"props":2938,"children":2939},{},[2940],{"type":26,"value":2941},"The threshold is not a single universal number. It depends on the code, and which codes are practical depends on your hardware's connectivity. This is where modality differences stop being trivia.",{"type":21,"tag":22,"props":2943,"children":2944},{},[2945,2950],{"type":21,"tag":218,"props":2946,"children":2947},{},[2948],{"type":26,"value":2949},"Superconducting",{"type":26,"value":2951}," processors offer rapid gates (nanoseconds) and mature fabrication, but qubits interact only with their planar neighbours and fidelities are typically lower. That planar constraint is precisely what the surface code was designed around, which is why superconducting roadmaps are built on it.",{"type":21,"tag":22,"props":2953,"children":2954},{},[2955,2960],{"type":21,"tag":218,"props":2956,"children":2957},{},[2958],{"type":26,"value":2959},"Trapped ions",{"type":26,"value":2961}," invert the trade: gates are far slower (microseconds to milliseconds), but fidelities are the highest of any modality and connectivity is effectively all-to-all: any ion in a chain is entangled with any other without a chain of intervening swap operations. IonQ argues this connectivity is a structural advantage for error correction, because codes requiring non-local checks become implementable rather than prohibitively expensive, and it has claimed 99.99% physical two-qubit gate fidelity via its Oxford Ionics acquisition. Again: vendor claim, vendor benchmark conditions.",{"type":21,"tag":22,"props":2963,"children":2964},{},[2965,2967,2972,2973,2978,2980,2985],{"type":26,"value":2966},"Neither is obviously winning. Our ",{"type":21,"tag":34,"props":2968,"children":2969},{"href":274},[2970],{"type":26,"value":2971},"hardware overview",{"type":26,"value":2072},{"type":21,"tag":34,"props":2974,"children":2975},{"href":282},[2976],{"type":26,"value":2977},"modality comparison",{"type":26,"value":2979}," go into the specifics, and the broader ",{"type":21,"tag":34,"props":2981,"children":2982},{"href":36},[2983],{"type":26,"value":2984},"industry landscape",{"type":26,"value":2986}," tracks who is betting on what. The practical takeaway for anyone learning is that connectivity and fidelity, not qubit count, are the specs that determine which error-correction strategies a machine even attempts.",{"type":21,"tag":43,"props":2988,"children":2990},{"id":2989},"encoding-is-necessary-not-sufficient",[2991],{"type":26,"value":2992},"Encoding is necessary, not sufficient",{"type":21,"tag":22,"props":2994,"children":2995},{},[2996],{"type":26,"value":2997},"A subtlety that gets lost in coverage: storing a logical qubit is the easy part of fault tolerance. Computing on one is harder. A genuinely fault-tolerant machine needs all of the following:",{"type":21,"tag":22,"props":2999,"children":3000},{},[3001,3006],{"type":21,"tag":218,"props":3002,"children":3003},{},[3004],{"type":26,"value":3005},"Fault-tolerant gate operations.",{"type":26,"value":3007}," Logical gates must be implemented so that a single physical fault cannot propagate into an uncorrectable logical error. Some gates are cheap in a given code. Others are not.",{"type":21,"tag":22,"props":3009,"children":3010},{},[3011,3016],{"type":21,"tag":218,"props":3012,"children":3013},{},[3014],{"type":26,"value":3015},"Continuous syndrome extraction.",{"type":26,"value":3017}," Parity checks run constantly, in rounds, throughout the computation. The measurement circuits are themselves noisy, so the scheme has to tolerate faults in its own error detection.",{"type":21,"tag":22,"props":3019,"children":3020},{},[3021,3026],{"type":21,"tag":218,"props":3022,"children":3023},{},[3024],{"type":26,"value":3025},"Magic state distillation.",{"type":26,"value":3027}," Surface codes give you Clifford gates relatively cheaply, but Clifford gates alone are classically simulable. Universality needs a non-Clifford gate, typically T, and those are produced by distilling noisy \"magic states\" into clean ones. Distillation factories consume a large fraction of the total qubit budget in realistic architectures.",{"type":21,"tag":22,"props":3029,"children":3030},{},[3031,3036],{"type":21,"tag":218,"props":3032,"children":3033},{},[3034],{"type":26,"value":3035},"Real-time decoding.",{"type":26,"value":3037}," Syndrome data must be interpreted and corrections applied faster than errors accumulate. This is a classical computing problem, running at microsecond latency alongside the QPU, and it's a serious engineering constraint in its own right.",{"type":21,"tag":22,"props":3039,"children":3040},{},[3041],{"type":26,"value":3042},"IonQ's framing here is useful regardless of the vendor context: a logical qubit should be characterised by several attributes together: overhead, idle logical error rate, logical gate fidelity, logical gate speed, and gate-set universality, rather than counted. A logical qubit that is stored but not usefully operated on is not much of a logical qubit.",{"type":21,"tag":43,"props":3044,"children":3046},{"id":3045},"where-the-field-stands",[3047],{"type":26,"value":3048},"Where the field stands",{"type":21,"tag":22,"props":3050,"children":3051},{},[3052],{"type":26,"value":3053},"Honest summary as of mid-2026: logical qubits are real, demonstrated, and few.",{"type":21,"tag":22,"props":3055,"children":3056},{},[3057],{"type":26,"value":3058},"Multiple groups have encoded them. Google has shown error suppression scaling in the right direction. Trapped-ion and neutral-atom teams have run algorithms on minor numbers of encoded qubits. These are genuine milestones, not marketing.",{"type":21,"tag":22,"props":3060,"children":3061},{},[3062,3064,3070,3072,3078,3080,3086],{"type":26,"value":3063},"But useful fault-tolerant computation needs hundreds to thousands of logical qubits executing millions of logical operations, and that means physical qubit counts several orders of magnitude beyond anything running today, with error rates comfortably below threshold across the whole device rather than on the best-behaved corner of a chip. Most working hardware remains firmly in the ",{"type":21,"tag":34,"props":3065,"children":3067},{"href":3066},"\u002Fglossary\u002Fnisq",[3068],{"type":26,"value":3069},"NISQ regime",{"type":26,"value":3071}," that ",{"type":21,"tag":34,"props":3073,"children":3075},{"href":3074},"\u002Fresearch\u002Fpreskill-nisq-2018",[3076],{"type":26,"value":3077},"Preskill named in 2018",{"type":26,"value":3079},", where ",{"type":21,"tag":34,"props":3081,"children":3083},{"href":3082},"\u002Fglossary\u002Ferror-mitigation",[3084],{"type":26,"value":3085},"error mitigation",{"type":26,"value":3087}," (statistical post-processing rather than true correction) is the practical tool.",{"type":21,"tag":22,"props":3089,"children":3090},{},[3091,3093,3098,3100,3106],{"type":26,"value":3092},"None of which means waiting around. The abstractions transfer: circuits, gates, measurement, and noise behave the equivalent way whether you're on a simulator or a fault-tolerant machine a decade out. You begin on ",{"type":21,"tag":34,"props":3094,"children":3095},{"href":824},[3096],{"type":26,"value":3097},"free simulators",{"type":26,"value":3099}," or real QPUs today, and the ",{"type":21,"tag":34,"props":3101,"children":3103},{"href":3102},"\u002Fcourses",[3104],{"type":26,"value":3105},"courses page",{"type":26,"value":3107}," collects structured routes in.",{"type":21,"tag":43,"props":3109,"children":3111},{"id":3110},"the-one-habit-worth-forming",[3112],{"type":26,"value":3113},"The one habit worth forming",{"type":21,"tag":22,"props":3115,"children":3116},{},[3117,3119,3124],{"type":26,"value":3118},"When you following see a qubit-count headline, ask three questions: what is the two-qubit gate fidelity, is it below the relevant threshold, and how many ",{"type":21,"tag":2697,"props":3120,"children":3121},{},[3122],{"type":26,"value":3123},"logical",{"type":26,"value":3125}," qubits does that imply?",{"type":21,"tag":22,"props":3127,"children":3128},{},[3129,3131,3137],{"type":26,"value":3130},"Frequently the answer to the third is zero, and the article won't have mentioned it. Learning to notice that gap is most of what separates informed reading from press-release reading. The ",{"type":21,"tag":34,"props":3132,"children":3134},{"href":3133},"\u002Fglossary",[3135],{"type":26,"value":3136},"glossary",{"type":26,"value":3138}," is a decent place to build the vocabulary for it.",{"title":8,"searchDepth":289,"depth":289,"links":3140},[3141,3142,3143,3144,3145,3146,3147,3148],{"id":2706,"depth":289,"text":2709},{"id":2784,"depth":289,"text":2787},{"id":2840,"depth":289,"text":2843},{"id":2885,"depth":289,"text":2888},{"id":2933,"depth":289,"text":2936},{"id":2989,"depth":289,"text":2992},{"id":3045,"depth":289,"text":3048},{"id":3110,"depth":289,"text":3113},"content:blog:logical-qubits-fault-tolerance-explained.md","blog\u002Flogical-qubits-fault-tolerance-explained.md","blog\u002Flogical-qubits-fault-tolerance-explained",[3153,3231,3289,3349],{"_path":3154,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":3155,"description":3156,"date":3157,"author":12,"tags":3158,"readingTime":508,"body":3162,"_type":303,"_id":3228,"_source":305,"_file":3229,"_stem":3230,"_extension":308},"\u002Fblog\u002Fcrypto4a-fips-140-3-level-3-quantum-safe-hsm","Crypto4A Passed FIPS 140-3 Level 3 for a Quantum-Safe HSM","Crypto4A's QASM module passed FIPS 140-3 Level 3, the first quantum-safe HSM to reach the bar, with support for all NIST post-quantum algorithms.","2026-08-21",[3159,3160,3161],"Post-Quantum","Security","Cryptography",{"type":18,"children":3163,"toc":3223},[3164,3169,3175,3180,3186,3191,3212,3218],{"type":21,"tag":22,"props":3165,"children":3166},{},[3167],{"type":26,"value":3168},"Canadian security firm Crypto4A received NIST FIPS 140-3 Level 3 validation for QASM, the cryptographic module inside its QxHSM hardware security module. The certification, announced August 19, 2026, is the first time a quantum-safe HSM reached Level 3 under the updated FIPS 140-3 standard. Level 3 requires physical tamper response, identity-based authentication, and zeroization of keys when the module detects tampering.",{"type":21,"tag":43,"props":3170,"children":3172},{"id":3171},"what-got-validated",[3173],{"type":26,"value":3174},"What got validated",{"type":21,"tag":22,"props":3176,"children":3177},{},[3178],{"type":26,"value":3179},"QASM runs the full set of NIST post-quantum algorithms: ML-KEM (FIPS 203) for key exchange, ML-DSA (FIPS 204) and SLH-DSA (FIPS 205) for signatures, plus stateful hash-based schemes like LMS. Hardware security modules generate, store, and manage the keys behind digital identity, financial transactions, and secure communications. A Level 3 validated module gives those keys a physical root of trust.",{"type":21,"tag":43,"props":3181,"children":3183},{"id":3182},"why-crypto-agility-matters",[3184],{"type":26,"value":3185},"Why crypto agility matters",{"type":21,"tag":22,"props":3187,"children":3188},{},[3189],{"type":26,"value":3190},"Crypto4A pitches the QxHSM and QxVault platforms as crypto-agile. Enterprises and agencies move from legacy RSA and elliptic-curve keys to post-quantum keys without replacing the physical appliance. DigiCert partnered to integrate the validated module into DigiCert ONE for signing, certificate issuance, and public key infrastructure.",{"type":21,"tag":22,"props":3192,"children":3193},{},[3194,3196,3202,3204,3210],{"type":26,"value":3195},"For teams planning a migration, see our ",{"type":21,"tag":34,"props":3197,"children":3199},{"href":3198},"\u002Fblog\u002Fpost-quantum-migration-deadlines",[3200],{"type":26,"value":3201},"post-quantum migration deadlines guide",{"type":26,"value":3203},". For the algorithms themselves, see our ",{"type":21,"tag":34,"props":3205,"children":3207},{"href":3206},"\u002Fblog\u002Fpost-quantum-cryptography-guide",[3208],{"type":26,"value":3209},"post-quantum cryptography guide",{"type":26,"value":3211},".",{"type":21,"tag":43,"props":3213,"children":3215},{"id":3214},"what-remains-unproven",[3216],{"type":26,"value":3217},"What remains unproven",{"type":21,"tag":22,"props":3219,"children":3220},{},[3221],{"type":26,"value":3222},"FIPS 140-3 Level 3 validates a module, not a company's whole product line or its market position. Crypto4A is an Ottawa-based firm led by CEO Bruno Couillard. The announcement is a vendor claim until independent deployments confirm the module in the field. The standard still matters because agencies and critical infrastructure operators face mandatory post-quantum deadlines, and a validated hardware root of trust shortens procurement review.",{"title":8,"searchDepth":289,"depth":289,"links":3224},[3225,3226,3227],{"id":3171,"depth":289,"text":3174},{"id":3182,"depth":289,"text":3185},{"id":3214,"depth":289,"text":3217},"content:blog:crypto4a-fips-140-3-level-3-quantum-safe-hsm.md","blog\u002Fcrypto4a-fips-140-3-level-3-quantum-safe-hsm.md","blog\u002Fcrypto4a-fips-140-3-level-3-quantum-safe-hsm",{"_path":3232,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":3233,"description":3234,"date":3157,"author":12,"tags":3235,"readingTime":508,"body":3236,"_type":303,"_id":3286,"_source":305,"_file":3287,"_stem":3288,"_extension":308},"\u002Fblog\u002Fdirac-labs-diamond-navigation-preseed","Dirac Labs Raised $1.8M for Diamond Navigation Sensors","University of Wisconsin-Madison spinout Dirac Labs raised a $1.8 million pre-seed round to build diamond NV-center sensors for GPS-denied navigation.",[14,15],{"type":18,"children":3237,"toc":3281},[3238,3243,3249,3254,3260,3265,3269],{"type":21,"tag":22,"props":3239,"children":3240},{},[3241],{"type":26,"value":3242},"Dirac Labs, a University of Wisconsin-Madison spinout, raised $1.8 million in pre-seed funding to prototype diamond-based quantum navigation sensors. TitletownTech led the round, joined by Automotive Ventures, Riceberg Ventures, quantumEDGE Ventures, gradCapital, and angels Balaji Srinivasan and Jude Gomila.",{"type":21,"tag":43,"props":3244,"children":3246},{"id":3245},"how-the-sensors-work",[3247],{"type":26,"value":3248},"How the sensors work",{"type":21,"tag":22,"props":3250,"children":3251},{},[3252],{"type":26,"value":3253},"The startup's NVD-4 sensor measures local variations in Earth's magnetic field using diamond nitrogen-vacancy (NV) centers. Geomagnetic signatures pass through rock and water, so the system aims to provide positioning underwater, underground, and in GPS-denied regions where radio signals jam or spoof. AI models handle signal processing and sensor fusion, turning weak geomagnetic readings into location fixes.",{"type":21,"tag":43,"props":3255,"children":3257},{"id":3256},"the-market-fit",[3258],{"type":26,"value":3259},"The market fit",{"type":21,"tag":22,"props":3261,"children":3262},{},[3263],{"type":26,"value":3264},"The sensors target a plug-and-play form factor that connects to standard GPS ports on aircraft, submarines, autonomous underwater vehicles, and mining equipment. Dirac Labs says the hardware uses standard CMOS fabrication, which lowers cost and supports volume production. Co-founders CEO Sanket Deshpande and COO Aishwarya Das also secured grants from NOAA, the Indo-US Science and Technology Forum, and other programs.",{"type":21,"tag":43,"props":3266,"children":3267},{"id":3214},[3268],{"type":26,"value":3217},{"type":21,"tag":22,"props":3270,"children":3271},{},[3272,3274,3280],{"type":26,"value":3273},"Pre-seed rounds fund prototypes, not production. The company has no field-tested unit yet, and the unjammable, unspoofable positioning claims are vendor claims until an independent evaluation runs. For a broader look at quantum sensing, see our ",{"type":21,"tag":34,"props":3275,"children":3277},{"href":3276},"\u002Fblog\u002Finfleqtion-colorado-hq-quantum-sensing-minerals-2027",[3278],{"type":26,"value":3279},"Infleqtion Colorado sensing post",{"type":26,"value":3211},{"title":8,"searchDepth":289,"depth":289,"links":3282},[3283,3284,3285],{"id":3245,"depth":289,"text":3248},{"id":3256,"depth":289,"text":3259},{"id":3214,"depth":289,"text":3217},"content:blog:dirac-labs-diamond-navigation-preseed.md","blog\u002Fdirac-labs-diamond-navigation-preseed.md","blog\u002Fdirac-labs-diamond-navigation-preseed",{"_path":3290,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":3291,"description":3292,"date":3157,"author":12,"tags":3293,"readingTime":508,"body":3295,"_type":303,"_id":3346,"_source":305,"_file":3347,"_stem":3348,"_extension":308},"\u002Fblog\u002Fquantinuum-albuquerque-integrated-photonics-leda","Quantinuum Got $1.5M to Build an Albuquerque Photonics Hub","Quantinuum received $750,000 from New Mexico and $750,000 from Albuquerque to convert a vacant site into an integrated photonics R&D center.",[14,15,3294],"Trapped-Ion",{"type":18,"children":3296,"toc":3341},[3297,3302,3308,3313,3319,3330,3336],{"type":21,"tag":22,"props":3298,"children":3299},{},[3300],{"type":26,"value":3301},"Quantinuum is expanding in Albuquerque, New Mexico, with a $1.5 million state and city incentive package. The State of New Mexico contributed $750,000 and the City of Albuquerque added $750,000 in Local Economic Development Act (LEDA) funds. Quantinuum will convert a vacant site at 5501 Wilshire into lab and office space for integrated photonics.",{"type":21,"tag":43,"props":3303,"children":3305},{"id":3304},"why-integrated-photonics",[3306],{"type":26,"value":3307},"Why integrated photonics",{"type":21,"tag":22,"props":3309,"children":3310},{},[3311],{"type":26,"value":3312},"Integrated photonics sits at the center of Quantinuum's next-generation trapped-ion machines. Miniaturized, chip-scale photonics guide, modulate, and deliver laser light for qubit state manipulation, addressing, and optical entanglement across multi-zone trapped-ion QPUs. A dedicated facility in New Mexico puts the work near Sandia National Laboratories, Los Alamos National Laboratory, and the University of New Mexico.",{"type":21,"tag":43,"props":3314,"children":3316},{"id":3315},"the-regional-bet",[3317],{"type":26,"value":3318},"The regional bet",{"type":21,"tag":22,"props":3320,"children":3321},{},[3322,3324,3329],{"type":26,"value":3323},"New Mexico has directed more than $450 million toward quantum research, startup infrastructure, and defense partnerships. The Albuquerque hub adds to Quantinuum's headquarters in Broomfield, Colorado and its centers in the US, UK, Germany, Japan, and Singapore. For trapped-ion context, see our ",{"type":21,"tag":34,"props":3325,"children":3326},{"href":131},[3327],{"type":26,"value":3328},"Quantinuum Helios logical qubits post",{"type":26,"value":3211},{"type":21,"tag":43,"props":3331,"children":3333},{"id":3332},"what-the-funding-does-not-buy",[3334],{"type":26,"value":3335},"What the funding does not buy",{"type":21,"tag":22,"props":3337,"children":3338},{},[3339],{"type":26,"value":3340},"This is a facilities and workforce expansion, not a new hardware result. The funding is modest next to the company's research spend, and the value shows only when the photonics work yields a smaller, more scalable trapped-ion system. The near-term signal is regional: a national laboratory ecosystem in New Mexico and a company building photonics capability inside it.",{"title":8,"searchDepth":289,"depth":289,"links":3342},[3343,3344,3345],{"id":3304,"depth":289,"text":3307},{"id":3315,"depth":289,"text":3318},{"id":3332,"depth":289,"text":3335},"content:blog:quantinuum-albuquerque-integrated-photonics-leda.md","blog\u002Fquantinuum-albuquerque-integrated-photonics-leda.md","blog\u002Fquantinuum-albuquerque-integrated-photonics-leda",{"_path":3350,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":3351,"description":3352,"date":3157,"author":12,"tags":3353,"readingTime":508,"body":3355,"_type":303,"_id":3415,"_source":305,"_file":3416,"_stem":3417,"_extension":308},"\u002Fblog\u002Fqusquare-benchmark-prefault-tolerant-devices","QuSquare Benchmarks Pre-Fault-Tolerant Quantum Devices","Researchers in Spain published QuSquare, an open-source benchmark with four tests for evaluating today's noisy quantum hardware.",[14,15,3354],"Performance",{"type":18,"children":3356,"toc":3410},[3357,3362,3368,3373,3379,3384,3390],{"type":21,"tag":22,"props":3358,"children":3359},{},[3360],{"type":26,"value":3361},"Researchers at the University of the Basque Country and BCAM published QuSquare, a benchmark suite for evaluating quantum devices before fault tolerance. The paper appeared in Quantum Science and Technology (DOI 10.1088\u002F2058-9565\u002Fae917c) with an open-source implementation.",{"type":21,"tag":43,"props":3363,"children":3365},{"id":3364},"the-problem-the-suite-targets",[3366],{"type":26,"value":3367},"The problem the suite targets",{"type":21,"tag":22,"props":3369,"children":3370},{},[3371],{"type":26,"value":3372},"Hardware vendors publish many different metrics, and results rarely compare across architectures. QuSquare's authors argue misleading performance numbers distort research priorities. The suite builds relevance, reproducibility, fairness, verifiability, and scalability into four tests for fair comparisons across superconducting, trapped-ion, neutral-atom, and photonic systems.",{"type":21,"tag":43,"props":3374,"children":3376},{"id":3375},"the-four-benchmarks",[3377],{"type":26,"value":3378},"The four benchmarks",{"type":21,"tag":22,"props":3380,"children":3381},{},[3382],{"type":26,"value":3383},"The suite runs a Partial Clifford randomized benchmark for gate accuracy, a multipartite entanglement test measuring how well a device builds genuine GHZ states, a transverse-field Ising model simulation for many-body dynamics, and a data re-uploading quantum neural network for classification. The entanglement and QNN tests include adjustable parameters, so a smaller or noisier device still runs a fair version.",{"type":21,"tag":43,"props":3385,"children":3387},{"id":3386},"why-this-matters",[3388],{"type":26,"value":3389},"Why this matters",{"type":21,"tag":22,"props":3391,"children":3392},{},[3393,3395,3401,3402,3408],{"type":26,"value":3394},"QuSquare targets pre-fault-tolerant hardware, the machines available today, rather than hypothetical fault-tolerant systems. For readers running benchmarks themselves, see our ",{"type":21,"tag":34,"props":3396,"children":3398},{"href":3397},"\u002Fblog\u002Frandomized-benchmarking-qiskit-experiments",[3399],{"type":26,"value":3400},"randomized benchmarking guide",{"type":26,"value":2072},{"type":21,"tag":34,"props":3403,"children":3405},{"href":3404},"\u002Fblog\u002Fquantum-volume-benchmarking-tutorial",[3406],{"type":26,"value":3407},"quantum volume tutorial",{"type":26,"value":3409},". The suite is a research tool, not a product, and its value depends on adoption by hardware teams.",{"title":8,"searchDepth":289,"depth":289,"links":3411},[3412,3413,3414],{"id":3364,"depth":289,"text":3367},{"id":3375,"depth":289,"text":3378},{"id":3386,"depth":289,"text":3389},"content:blog:qusquare-benchmark-prefault-tolerant-devices.md","blog\u002Fqusquare-benchmark-prefault-tolerant-devices.md","blog\u002Fqusquare-benchmark-prefault-tolerant-devices",1787493247916]