Q2B Tokyo 2026

Hamiltonian dynamics have been widely implemented on NISQ devices in recent years. In contrast, experimental demonstrations of Markovian quantum process dynamics remain limited because implementing non-unitary evolution on quantum computers is challenging. Quantum collision models provide a natural approach by coupling the system to ancillas to realize dissipation. However, previous implementations of quantum collision models on quantum computers have typically been restricted to 1 or 2 system qubits and fewer than 10 time steps due to noise, circuit depth limitations, overhead of ancilla reset, and limited qubit resources. This case study will share results where a team of RIKEN and Q-CTRL members realized up to seven system qubits with nonlocal dissipation for 40 time steps by applying different ancilla strategies for both trapped-ion and superconducting platforms.

We demonstrate for the first time that by augmenting an IBM Quantum Computer with Q-CTRL performance-management infrastructure software, we can push the limits of quantum simulation in materials science to a regime where the quantum computer is 3000 times faster than the industry standard classical software package. We study the Fermi-Hubbard model, underpinning key challenges in energy storage and distribution, using up to 13,800 two qubit gates and up to 120 qubits, showing that runtime error suppression opens an operating regime where classical simulations become a practical bottleneck on scientific progress. We are excited that these new results give strong evidence that quantum computers have now become useful tools in advanced chemical and materials science R&D.

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