Q-CTRL Executes 100-Qubit Quantum Fourier Transform Using Convolutional Compilation Strategy

quantumcomputingreport.com Sep 24, 2026

Q-CTRL Executes 100-Qubit Quantum Fourier Transform Using Convolutional Compilation Strategy

Curated by Shubham · TechCapsules · Sep 24, 2026

AI-summarised brief · reviewed before publication

Q‑CTRL demonstrated the largest experimental Quantum Fourier Transform (QFT) on 100 physical qubits, executing a convolutional compilation strategy on IBM’s Heron R3 processor. The Convolutional QFT eliminates routing overhead on a linear nearest‑neighbor (LNN) topology by using identity cancellations and an ancilla qubit, matching the theoretical two‑qubit gate count of an all‑to‑all architecture. Benchmarks show 11.4 % process fidelity at 50 qubits, 1.8 % at 80 qubits, and correct frequency bitstrings above noise at 100 qubits, resolving a 2100‑dimensional Hilbert space.

💡 Why It Matters

· By removing routing penalties, the work shows how near‑term hardware can scale complex algorithms without excessive gate overhead, directly addressing a key barrier to practical quantum advantage.

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CGI and D-Wave Partner to Commercialize Enterprise Quantum Optimization Across Transportation, Logistics,…

CGI Inc. and D‑Wave Quantum have formed a strategic partnership to commercialize quantum optimization solutions for enterprise clients. The deal builds on a year of technical collaboration, integrating D‑Wave’s Advantage2™ annealing QPU and hybrid solver services into CGI’s global IT services portfolio. CGI’s 94,000‑consultant network will deploy production‑grade quantum applications across transportation, logistics, retail, and energy sectors, targeting dynamic train scheduling, inventory planning, and grid load balancing. The alliance offers structured engagement models to move from proof‑of‑concept to full production.

💡 The collaboration signals a tangible shift toward hybrid quantum‑classical solutions in high‑impact industries, demonstrating that quantum hardware can be operationalized at scale within established consulting frameworks.

thequantuminsider.com · Sep 24

Developers Push Quantum-Safe Bitcoin Transaction Cost Below $70

An open optimization challenge has slashed the GPU cost of creating a quantum‑safe Bitcoin transaction from about $320 to roughly $67 in one week. Developers boosted RTX 4090 throughput from 146 million to over 820 million verified candidates per second and increased subset‑selection speed tenfold. The effort, led by 23 solvers on the pinning track and 17 on subset selection, builds on prior records and uses tools such as Opus 5, Fable 5.1, GPT‑6 Astra and others. Faster code reduces the brute‑force hash search that underlies quantum‑safe constructions, cutting required GPU‑hours. Although the transaction remains nonstandard, requires direct miner submission, and only protects unexposed public keys, the lower cost brings practical use closer. StarkWare still favors a soft fork for comprehensive quantum security long term.

💡 Reducing the compute bill transforms a theoretical safeguard into a viable emergency tool for high‑value Bitcoin holders.

quantumcomputingreport.com · Sep 24

Classiq, INGL, and IonQ Advance Quantum Optimization for Natural Gas Transmission Networks

Classiq Technologies and Israel Natural Gas Lines Ltd. (INGL) released joint research showing a hybrid quantum‑classical workflow that optimizes natural‑gas pipeline throughput. The study, posted on arXiv (2609.00825), formulates the pressure‑allocation problem as a Quadratic Unconstrained Binary Optimization model using a second‑degree approximation of the Panhandle‑B flow equation. A Quantum Approximate Optimization Algorithm (QAOA) was synthesized on Classiq’s platform and first validated in simulation on a six‑node, five‑edge network with 30 QAOA layers, reproducing the classical optimum. A reduced 10‑qubit instance was then run on IonQ’s Forte‑1 trapped‑ion processor with two QAOA layers, yielding physically valid pressure settings that bracketed the continuous optimum. The approach is positioned as a global‑search complement to existing hydraulic tools such as SIMONE for engineers.

💡 Demonstrating viable QAOA runs on commercial trapped‑ion hardware shows quantum processors can directly assist utility optimization, shortening the search for feasible operating points that classical methods evaluate exhaustively.

quantumcomputingreport.com · Sep 24

Independent Cross-Stack Benchmark Evaluates Commercial Quantum Error Management on 156-Qubit IBM Heron…

An independent study published on arXiv (2608.05202) benchmarked commercial quantum error suppression and mitigation stacks on IBM’s 156‑qubit Heron r3 processor. Researchers from Catholic University of America, University of Deusto, and Universidad de los Andes compared native IBM Qiskit Runtime primitives with third‑party pipelines Q‑CTRL Performance Management and Qedma QESEM. Across sampler and estimator tasks, Q‑CTRL achieved the highest exact‑output success rates, while Qedma delivered the lowest mean‑absolute error at the cost of significantly longer QPU runtimes. The results illustrate the trade‑offs between accuracy and resource consumption in quantum error management.

💡 The benchmark quantifies how commercial error‑management tools can dramatically improve result fidelity on current‑generation quantum hardware, informing users who must balance precision against execution time.

thequantuminsider.com · Sep 24

IonQ Bringing QPU to The NVIDIA Accelerated Quantum Research Center

IonQ announced it will install its Superion 256 quantum computer at NVIDIA’s Accelerated Quantum Research Center (NVAQC), marking the center’s first on‑premise quantum deployment. The system will connect directly to NVIDIA’s GB200 NVL72 platform via NVQLink and be managed with CUDA‑Q, enabling hybrid quantum‑classical workloads. The partnership will explore quantum‑GPU system design, hybrid software, and applications in finance, materials science, and drug discovery, with installation slated for 2027. The move aims to advance scalable, fault‑tolerant quantum supercomputing.

💡 By embedding a full‑stack quantum processor into a leading AI supercomputer, the collaboration accelerates the practical integration of qubits with GPU‑based AI workloads, a critical step toward solving real‑world optimization and simulation problems.

techgenyz.com · Sep 24

IonQ Superion 256: Exciting NVIDIA Quantum Plans

IonQ announced on September 23, 2026 that its sixth‑generation Superion 256 quantum processor will be installed at NVIDIA’s Accelerated Quantum Research Center (NVAQC) in 2027, marking the first on‑premises quantum system at the facility. The deployment will link the Superion 256 to an NVIDIA GB200 NVL72 GPU server via NVQLink, with workloads managed through NVIDIA’s CUDA‑Q software stack, creating a tightly coupled hybrid quantum‑classical architecture. IonQ has made the Superion 256 available for order, projecting initial customer deliveries for 2027, while the NVAQC installation remains a forward‑looking plan. The partnership also outlines a longer‑term roadmap toward 10,000‑qubit, fault‑tolerant machines, though those goals are separate from the current system’s specifications.

💡 Demonstrating a low‑latency quantum‑GPU interface validates a practical path for scaling hybrid computing workloads beyond laboratory prototypes.