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Q-CTRL Secures $290 Million Series C Funding to Advance AI-Powered Quantum Software

Q-CTRL Secures $290 Million Series C Funding to Advance AI-Powered Quantum Software

Q-CTRL Secures $290 Million Series C Funding to Advance AI-Powered Quantum Software
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Q-CTRL's Fire Opal Dynamics Simulator Achieves 12x Speedup on IBM Quantum Nighthawk Processors

Q-CTRL's Fire Opal Dynamics Simulator Achieves 12x Speedup on IBM Quantum Nighthawk Processors

Q-CTRL, a quantum infrastructure software provider, has deployed its Fire Opal Dynamics Simulator function within the IBM Quantum Functions Catalog. This deployment enables researchers to conduct large-scale fermionic many-body physics simulations on IBM's superconducting processors through a single automated API call. Recent benchmarks on IBM's Nighthawk r2 architecture demonstrated a 12x execution speedup compared to IBM Heron r3 systems, with less than a 1% fidelity deviation. The Dynamics Simulator abstracts complex processes like Hamiltonian mapping, Trotter-Suzuki synthesis, qubit routing, and deterministic crosstalk suppression behind a high-level Python interface. This allows for the prevention of coherent errors during execution without requiring additional measurement shots. Previously, Q-CTRL simulated 1D Fermi-Hubbard dynamics up to 120 qubits on IBM Heron hardware across 90 Trotter steps. While classical research using symmetry-exploiting tensor contractions on NVIDIA H200 GPUs initially narro...
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Diraq Deploys First Silicon Spin Quantum Computer in Commercial Data Center, Targets 256 Qubits

Diraq Deploys First Silicon Spin Quantum Computer in Commercial Data Center, Targets 256 Qubits

Diraq Deploys First Silicon Spin Quantum Computer in Commercial Data Center, Targets 256 Qubits
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Qunova Computing's HI-VQE Algorithm Achieves Chemical Accuracy in Iron-Sulfur Cluster Simulation Using Hybrid Quantum-Classical Approach

Qunova Computing's HI-VQE Algorithm Achieves Chemical Accuracy in Iron-Sulfur Cluster Simulation Using Hybrid Quantum-Classical Approach

Qunova Computing has announced that its HI-VQE algorithm has achieved chemical accuracy in an 80-qubit simulation of a 4Fe-4S iron-sulfur cubane cluster. This milestone was reached through a hybrid quantum-classical supercomputing workflow, utilizing an IBM Quantum System Two quantum computer at RIKEN and RIKEN’s classical supercomputer Fugaku. The extrapolated ground-state energy estimate from Qunova's method, -327.2482 ± 0.0007 Hartree, aligns within chemical accuracy with a leading classical benchmark calculated using the Density Matrix Renormalization Group (DMRG) method (-327.2471 Hartree). This result marks the most accurate quantum computation of this molecule to date and demonstrates that a quantum-based approach can achieve accuracy comparable to the strongest classical methods for a highly demanding chemical problem. Furthermore, the HI-VQE algorithm used approximately 300 times fewer Fugaku node-hours in an intermediate calculation compared to a previously published sample-based quantum diagonal...
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TU Delft Researchers Test Quantum Inspire's Integration with DelftBlue Supercomputer for Power Grid Problem

TU Delft Researchers Test Quantum Inspire's Integration with DelftBlue Supercomputer for Power Grid Problem

TU Delft researcher Zeynab Kaseb has become the first user to test the integration of Quantum Inspire, QuTech’s open cloud quantum computer, with DelftBlue, TU Delft’s high-performance computer. This workflow allows researchers to use DelftBlue for classical calculations and then send quantum circuits through Quantum Inspire to run on real-world quantum computers. Kaseb utilized this integrated infrastructure to study power flow in a small network, specifically exploring the Quantum Approximate Optimization Algorithm (QAOA). DelftBlue prepared and optimized the calculation, while Quantum Inspire provided access to the Tuna-17 quantum processor, returning measurements for analysis. This test demonstrates a complete route from classical calculation to quantum circuit execution and back to analysis.
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Purdue Engineers Advance Quantum Computing with Light-Speed Capabilities

Purdue Engineers Advance Quantum Computing with Light-Speed Capabilities

Purdue University engineers have made significant advancements in quantum computing, specifically in developing quantum photonic integrated circuits that could enable light-speed computing. This research addresses major challenges in fabricating chips that allow photons to function as qubits, the basic units of quantum information. Photons offer advantages over other quantum particles, such as operating at the speed of light and maintaining stability at room temperature, unlike other qubits that require supercold environments. Professors Vladimir Shalaev and Alexandra Boltasseva lead the work, focusing on creating reliable single-photon sources and developing single-photon switches. Their team has demonstrated a method to emit single photons consistently using silicon nitride and has built a switch capable of operating at the single-photon level. Additionally, a team led by Professor Alexander Kildishev and graduate student Pranshu Maan has developed an approach to predict and mitigate quantum decoherence,...
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Deloitte Consulting Seeks Quantum Product Engineering Manager to Scale Quantum Computing Offerings

Deloitte Consulting Seeks Quantum Product Engineering Manager to Scale Quantum Computing Offerings

Deloitte Consulting Seeks Quantum Product Engineering Manager to Scale Quantum Computing Offerings
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Stocks gain as CoreWeave reignites AI trade

Stocks gain as CoreWeave reignites AI trade

By Danilo Masoni and Stella Qiu MILAN/SYDNEY, Nov 11 (Reuters) - Stocks rose on Wednesday as investors looked past mounting expectations of further Federal Reserve interest rate rises and focused on a renewed wave of AI optimism after strong results from AI infrastructure firm CoreWeave.
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TSMC Plans $1 Billion Investment in Leading AI Developers Anthropic and OpenAI

TSMC Plans $1 Billion Investment in Leading AI Developers Anthropic and OpenAI

TSMC Plans $1 Billion Investment in Leading AI Developers Anthropic and OpenAI
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D-Wave Secures $100 Million CHIPS Act Funding, Reports Q3 2026 Revenue Increase

D-Wave Secures $100 Million CHIPS Act Funding, Reports Q3 2026 Revenue Increase

D-Wave Secures $100 Million CHIPS Act Funding, Reports Q3 2026 Revenue Increase
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RIKEN and Quantinuum Upgrade Reimei Quantum Computer, Advancing Hybrid Supercomputing in Japan

RIKEN and Quantinuum Upgrade Reimei Quantum Computer, Advancing Hybrid Supercomputing in Japan

RIKEN and Quantinuum have upgraded the Reimei quantum computer to Quantinuum’s System Model H2, significantly advancing their hybrid supercomputing platform. This upgrade aims to bring quantum advantage closer by combining quantum and classical data processing. The platform now integrates Reimei, the supercomputer Fugaku, and the ROQUO GPU supercomputer, creating a world-leading system for scientific discovery. Two frontier projects are currently underway: one focusing on quantum materials discovery using quantum simulation, classical tensor networks, and generative AI, and another on creating a scalable hybrid workflow for biomolecular chemistry to simulate excited-state properties of complex molecules. These projects are designed to move hybrid computing beyond infrastructure demonstrations towards high-value scientific applications.
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Stocks struggle on Nvidia whiplash, dollar climbs with US yields

Stocks struggle on Nvidia whiplash, dollar climbs with US yields

By Rae Wee SINGAPORE, Nov 13 (Reuters) - Global stocks gave up early gains to trade lower on Friday after a turbulent week dominated by revelations of extramarital affairs involving Nvidia CEO Jensen Huang that culminated in his resignation, in a blow to the global AI boom he helped advance.