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RIKEN, IBM, and Cleveland Clinic Achieve Quantum Chemistry Simulation of 12,635-Atom System

RIKEN, IBM, and Cleveland Clinic Achieve Quantum Chemistry Simulation of 12,635-Atom System

Researchers from RIKEN, IBM, and Cleveland Clinic have successfully completed the most resource-intensive heterogeneous quantum-classical (HQC) computation for quantum chemistry to date. This groundbreaking work involved simulating a 12,635-atom system, a significant leap in complexity for molecular simulations. The workflow decomposed molecules into fragments, utilizing up to 94 qubits on IBM's ibm_cleveland and ibm_kobe quantum processors. Over 239 hours, the team ran 21,006 circuits and collected 3.0 x 10^9 measurement outcomes. This achievement represents a greater than 40-fold increase in system size and up to a 210-fold improvement in accuracy compared to previous methods, with HQC results matching coupled-cluster (CCSD) accuracy in fragment energies. The simulation of two protein-ligand complexes, containing 11,608 and 12,635 atoms respectively, marks a new scale for HQC calculations. Supercomputers Fugaku, Miyabi-G, and ROQUO were also employed, achieving 72.5% parallel efficiency in computing frag...
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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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IBM Quantum and Partners Advance Hybrid Computing for Scientific and Industrial Impact

IBM Quantum and Partners Advance Hybrid Computing for Scientific and Industrial Impact

IBM Quantum and Partners Advance Hybrid Computing for Scientific and Industrial Impact
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Q-CTRL Secures $290 Million Series C Funding to Scale Quantum Infrastructure Software

Q-CTRL Secures $290 Million Series C Funding to Scale Quantum Infrastructure Software

Q-CTRL Secures $290 Million Series C Funding to Scale Quantum Infrastructure Software
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University of Osaka Integrates Quantum Processors with OCTOPUS Supercomputer via SEAFOOD Platform

University of Osaka Integrates Quantum Processors with OCTOPUS Supercomputer via SEAFOOD Platform

Researchers at The University of Osaka's D3 Center and Center for Quantum Information and Quantum Biology (QIQB) have developed SEAFOOD (Supercomputing Entangled by Ambitious Fusion of OQTOPUS and OCTOPUS at D3C), a hybrid computing infrastructure. This platform links the university’s OCTOPUS supercomputer with domestically built superconducting quantum processors located across separate campuses. Scheduled to become formally operational in December 2026, SEAFOOD marks the first integration of a Japanese-developed quantum computer and an on-campus supercomputer at a single academic institution in Japan. The architecture partitions workloads across a three-layer stack, allowing each processor to execute mathematical routines best suited to its hardware design. This includes the OCTOPUS supercomputer handling classical matrix diagonalization, QIQB superconducting QPUs managing transpilation, pulses, and readout, and the OQTOPUS open-source quantum cloud stack routing circuit jobs and bitstrings between HPC n...
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Amaravati Quantum Valley to House South Asia's First IBM Quantum System by February 2027

Amaravati Quantum Valley to House South Asia's First IBM Quantum System by February 2027

The Amaravati Quantum Valley (AQV) in India is set to become the first city in South Asia to house a physical IBM Quantum System, with installation scheduled for February 3, 2027. This development will place India among only seven other countries globally hosting an IBM quantum machine. The initiative, driven by Chief Minister Nara Chandrababu Naidu and backed by Prime Minister Narendra Modi, aims to establish Amaravati as a global center for quantum technology development, manufacturing, and innovation, rather than just an end-user. Even before the IBM system arrives, significant work is underway in local labs, including the establishment of two open-access reference test beds: Amaravati 1Q for industry validation and Amaravati 1S for academic research. Homegrown breakthroughs are emerging, such as Q SHIVA, a locally engineered cryogenic platform, and NAADA, a superconducting resonator chip.
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Leibniz Supercomputing Centre Navigates Quantum Computing's Evolution Towards Practical Scientific Tool

Leibniz Supercomputing Centre Navigates Quantum Computing's Evolution Towards Practical Scientific Tool

The Leibniz Supercomputing Centre (LRZ) is actively involved in the evolving landscape of quantum computing, operating two Euro-Q-Exa systems on behalf of the EuroHPC Joint Undertaking. While quantum computers can operate independently, they still require control through classical systems and access via portals like LRZ's Munich Quantum Portal. LRZ emphasizes projects that include a classical High-Performance Computing (HPC) component when allocating computing time. The center is installing a new Euro-Q-Exa system expected to provide around 150 qubits capable of entanglement and gate operations at a defined quality level. This larger system is anticipated to make quantum computing substantially more interesting from an applications perspective, particularly for data-intensive fields such as Earth observation, chemistry, and materials science. Researchers are gaining opportunities to develop new algorithms for computation and data processing, moving quantum computing from an experimental field to a practica...
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Quantum Computing to Complement, Not Replace, High-Performance Computing in Hybrid Systems

Quantum Computing to Complement, Not Replace, High-Performance Computing in Hybrid Systems

Quantum Computing to Complement, Not Replace, High-Performance Computing in Hybrid Systems
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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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IBM Quantum Nighthawk Achieves Speed and Quality Milestones, Plans 1,000+ Qubit System by 2027

IBM Quantum Nighthawk Achieves Speed and Quality Milestones, Plans 1,000+ Qubit System by 2027

IBM has announced significant advancements with its Quantum Nighthawk processor, demonstrating new levels of speed and quality in quantum computing. The IBM Quantum Nighthawk r2 has achieved up to 19x speedups beyond previous IBM quantum processors, executing up to 100,000 samples per second while maintaining accuracy with over 7,500 quantum operations on 120 qubits. This performance is attributed to high-speed qubit reset technology, which efficiently collects the millions or billions of samples required for complex computations. Building on this, IBM plans to introduce the Nighthawk r3 processor, designed to execute 10,000 quantum operations across 520 qubits, with a total of 2,034 physical qubits. By 2027, IBM intends to link two Nighthawk r3 processors into a single system exceeding 1,000 qubits, further scaling its high-performance architecture for larger and more complex computations. The company is also integrating high-performance classical and quantum computing into a single managed environment, a...
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IBM Quantum Researchers Achieve 70-Qubit Generative Quantum Eigensolver Training with Hardware Integration

IBM Quantum Researchers Achieve 70-Qubit Generative Quantum Eigensolver Training with Hardware Integration

Researchers from IBM Quantum, in collaboration with Mitsubishi Chemical Corporation and Keio University, have successfully demonstrated a generative quantum eigensolver (GQE) trained with quantum hardware at a 70-qubit scale. This achievement involved training policies to generate circuits for sample-based quantum diagonalization, initially using simulations and then integrating the IBM Heron processor ibm_kobe into the training loop. The method produced circuits for organotin hydroxides, which are models for materials used in extreme-ultraviolet lithography. These circuits achieved accuracy within 15 milli-Hartree (mHa) of a density-matrix renormalization group reference in 27 out of 28 runs. Notably, at 56-70 qubits, these circuits required significantly fewer two-qubit gates (34 to 72 times less) compared to alternative methods, highlighting a substantial reduction in computational cost.
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IBM Unveils Nighthawk r3 Processor, Aiming for Over 1,000 Qubits by 2027 to Advance Quantum Computing

IBM Unveils Nighthawk r3 Processor, Aiming for Over 1,000 Qubits by 2027 to Advance Quantum Computing

IBM has announced its next-generation quantum processor, the IBM Quantum Nighthawk r3, designed to execute 10,000 quantum operations across 520 qubits. This new processor aims to tackle larger and more complex computational problems while maintaining the speed and quality demonstrated by its predecessor, the Nighthawk r2. The Nighthawk r2, introduced in September, delivers up to 100,000 samples per second and supports accurate computations with over 7,500 quantum operations on 120 qubits. Clients and partners, including E.ON, Algorithmiq, and Q-CTRL, have already run billions of circuits on Nighthawk r2, reporting significant speedups. IBM plans to link two Nighthawk r3 processors into a single system with more than 1,000 qubits by 2027, extending its high-performance architecture to even larger and more complex computations. This development is part of IBM's roadmap toward achieving fault-tolerant quantum systems.