Texas Quantum Initiative: Victor Fishman Joins Advice Panel Read more on quantum-computing.news/texas… #VictorFishman #quantumcomputing #QuantumEconomy #QuantumTechnology #quantumthreats #ORCAComputing #quantummechanics #News #Technews #Technology #Technologynews #Technologytrends #Govindhtech #quantum #quantumnews #todayquantumnews #quantumnewstoday @TechGovind70399

ORCA Computing, SiC Systems Partner on Hybrid Quantum-Classical AI for Industrial Process Design @orcacomputing #QuantumComputing #HPC ow.ly/pp3I50YVwPH

Photonics or neutral-atom, although what @Alice__Bob are doing w Cat Qubits is very interesting

Where does Quantinuum land in this bunch? @infleqtion 1,000 logical qubits by 2030 as well. What are your perspectives on photonics? @XanaduAI aiming for 500 by 2029. @orcacomputing has been making steady progress — seems photonics could gain traction. And @Ibm is somewhere in there on the superconducting said. I’m sure @GoogleQuantumAI will give us something on neutral atom and/or superconducting by end of decade. Wonder if @rigetti has any chance…

Quantum computers need to fit inside data centers before they can change what data centers do. This Bloomberg Intelligence x @OpenComputePrj roundtable puts three hardware approaches side by side (@QueraComputing neutral atoms, superconducting (@OQC_Tech), photonic (@orcacomputing) — on power, cooling, and rack integration. Worth tuning in. April 10th | Register: buff.ly/rIiqW0N @business

1) @IonQ_Inc and KISTI Forge Strategic Alliance to Advance Quantum-HPC Hybrid Technologies in South Korea with NVIDIA NVQLink: ionq.com/news/ionq-and-kisti… 2) @PNNLab Brings Open-Source GPU Acceleration to Quantum with NVIDIA NVQLink: newswise.com/articles/pnnl-b… 3) SDT Integrates 20-Qubit Quantum Computer With NVIDIA DGX Systems Using NVQLink: thequantuminsider.com/2026/0… 4) @meetIQM and Zurich Instruments Launch Real-Time Quantum Error Correction Demonstrator with NVIDIA NVQLink: businesswire.com/news/home/2… 5) @QuantumQM Launches Open Acceleration Stack Alongside NVIDIA, AMD and @RiverLane_io to Deliver Next Level of Hybridization: prnewswire.com/news-releases… 6) @orcacomputing Advances Photonic Quantum Simulation with NVIDIA cuTensorNet: thequantuminsider.com/2026/0… 7) Alice & Bob Reduces Quantum Error Correction Decoding Time via NVIDIA CUDA-Q Integration: quantumcomputingreport.com/a… 8) @qbloxquantum Powers Real-Time Quantum Acceleration with NVIDIA CUDA-Q Integration: prnewswire.com/news-releases… 9) memQ Launches Extensible Distributed Quantum Compiler (xDQC) via NVIDIA CUDA-Q: quantumcomputingreport.com/m… 10) OTI Lumionics Establishes New Computational Chemistry Benchmark Using Nvidia Blackwell GPU: thequantuminsider.com/2026/0… 11) @ClassiqTech Integrates NVIDIA CUDA-Q to Accelerate Hybrid Workflows: quantumcomputingreport.com/c… 12) @Atom_Computing Integrates NVIDIA NVQLink to Accelerate Scaling of Its Quantum Computers: prnewswire.com/news-releases… 13) @BerkeleyLab and NVIDIA Accelerate US Leadership in Hybrid Quantum–Classical Computing: hpcwire.com/off-the-wire/ber… 14) @pasqal_quantum Introduces New Integration with NVIDIA CUDA-Q to Enhance Its Hybrid Quantum Computing Environment for HPC: businesswire.com/news/home/2… 15) Scaleway: CUDA-Q Integration Unifies GPU Supercomputing & European Quantum Hardware in Cloud: quantumzeitgeist.com/scalewa… 16) @PsiQuantum Construct Enables Utility-Scale Quantum Application Development with CUDA-Q Integration: psiquantum.com/news-import/c… 17) Building HPC-native quantum integrations with @qctrlHQ and NVIDIA NVQLink: q-ctrl.com/blog/building-hpc… 18) @Dell Breaks the Latency Barrier in Quantum Computing with NVIDIA: dell.com/en-us/blog/dell-and… 19) @QuantinuumQC NVIDIA Real Time Error Correction at Increased Scale: quantinuum.com/blog/real-tim… 20) Elevate Quantum and Partners Launch Nation’s First Quantum Open Architecture System in Record Time: elevatequantum.org/elevate-q… 21) @diraqQC Collaborates with NVIDIA on Hybrid Quantum-HPC for Utility Scale: diraq.com/newsdesk/diraq-col…

🚀 @orcacomputing advances photonic quantum simulation using @nvidia #cuTensorNet and accelerated computing. Our GPU-accelerated simulator enables scalable hybrid quantum–classical workflows aligned with our PT-2 processor. Learn more 👉 bit.ly/4uwLXo3

The next frontier of connectivity is not just faster. It is fundamentally different. At #MWCBarcelona2026, join us for a special fireside chat exploring the powerful convergence of Quantum Computing and 6G, two forces poised to redefine intelligence, speed, and security. In this conversation, Tushar Srivastava, Head of AI and Quantum Computing, UK and Europe, @tech_mahindra, and Richard Murray, Chief Executive Officer, @orcacomputing, will discuss what happens when ultra‑advanced computation meets next‑generation networks, and what it means for telecom, enterprises, and society at large. From quantum‑secure architectures to the promise of #6G‑native intelligence, the session looks beyond incremental progress toward truly transformational impact. 📅 3 March 2026 | ⏰ 3:00–3:30 PM CET 📍Fira Gran Via, Barcelona | 📌 Booth 2D46 If you are already thinking beyond 5G, this is the conversation to be part of. Know more: techmahindra.com/insights/ev… #ScaleAtSpeed #MWC2026 #QuantumComputing #FutureNetworks

来たらいいですね。とりあえず量子が得意な分子シミュレーション（創薬、材料科学）と一部の組合せ最適化で最初は力を発揮してくれたら^_^

CNNとかの10年前の深層学習でも計算8割減はかなりのインパクトです 長期的には最新モデルでも一定の精度が出る流れくるのか

All such claims are 100% bullshit because ML workloads are memory-bound, not compute-bound, except maybe for tiny, toy datasets. You don't even need to touch the quantum subsystem speedup claims, the memory bottleneck alone kills them.

Either that, or have a massive dimensionality reduction on the classical end. The usual tricks in QML.

My bet is small dataset, and if they’re as flagrant as IonQ there will be no quantum computation involved whatsoever

@Cat_States @DrocDolf @SPVLABS Do you believe any of these claims? I can easily debunk it, but they’re smart to keep the papers hidden. They have ZERo shame

I will bet they use a tiny dataset smaller than MNIST. Project wildly and make preposterous claims. I couldn’t find the paper, but 80% reduction in compute should mean the AI labs will be all over this. I will bet they will 100% not care.

Are you serious? Unbelievable

【リポスト】 量子分野での大ニュース... @orcacomputing & @Toyota が、量子リザーバーコンピューティングを用いたベンチマーク研究で協力し、AIモデルの古典的計算時間を80%以上削減することに成功しました。特に、ハイブリッド量子古典アプローチを用いた画像分類タスクにおいて。 フォトニック量子プロセッサを既存のMLワークフロー（Vision TransformersやConvolutional Neural Networksなど）に統合した結果、計算オペレーションが20%以上削減され、エネルギー消費の低減、および大規模な再設計を必要とせずに近期的商業的利益の可能性が得られました。

Massive news in Quantum... @orcacomputing & @Toyota collaborated on a benchmarking study using quantum reservoir computing to achieve over 80% reduction in classical compute time for AI models, particularly in image classification tasks with hybrid quantum-classical approaches. This integration of photonic quantum processors into existing ML workflows, such as Vision Transformers and Convolutional Neural Networks, resulted in over 20% fewer computational operations, lower energy consumption, and potential near-term commercial benefits without requiring extensive redesigns.

🚀 In the News: @HPCwire Feature: “ORCA Turns Its Quantum Photonic Machine to #Cybersecurity” @HPCwire has published a feature dedicated entirely to @orcacomputing including a dive into our collaboration with ST Engineering. Read the full story: 🔗 hpcwire.com/2025/12/10/orca-…

Great to contribute to this roundtable, moderated by @jakobmokander -- with big players from @IonQ_Inc , @PsiQuantum , @orcacomputing, @PhasecraftLtd, @OxfordIonics and many others all there. Do checkout our UK quantum report --> bit.ly/4ncm6Nh