Quantum

Trial-space co-design for quantum simulation on noisy hardware

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 27/10/2026, 04:13:24 UTC.

Briefings

A new method for quantum simulation on noisy hardware uses problem-specific information to select simulation basis states and evolution times before execution, reducing projected-energy error by 54% compared to uniform sampling. This approach adapts the representation rather than the algorithm, offering a practical interface between quantum algorithms and hardware. The study was conducted across seven acquisition days using a four-qubit experiment on many-body and molecular models.

Key points

• The method reduces projected-energy error by 54% on a four-qubit experiment compared to uniform sampling under matched hardware conditions.
• Device limitations are considered during the initial selection of simulation basis states and evolution times.

Context

Quantum simulations on noisy hardware are often designed as if the machine were ideal, with device limitations considered only after the basis and measurement plan have been chosen. This new approach addresses that by using physical problem data to inform the simulation design upfront.

Limitations

Results are based on a single four-qubit experiment across seven acquisition days. The study focuses on many-body and molecular models, and while it shows a proof of principle, the specific hardware response variations and reliability of the identified directions remain to be fully characterized.

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