What question did this study set out to answer?

This report aims to establish a new efficiency benchmark for NISQ (Noisy Intermediate-Scale Quantum) hardware through public evaluation.

July 4, 2026Open Access

Quantum Computing Evaluation Variational - A New Efficiency Benchmark for NISQ Hardware - Public Information

Key Points

This report aims to establish a new efficiency benchmark for NISQ (Noisy Intermediate-Scale Quantum) hardware through public evaluation.
Validated results from SoftQuantus QCOS Autopilot on IBM Quantum hardware
Prepared a 2-qubit Bell state on IBM’s ibm_fez Heron r2 processor
Achieved approximately 0.85 raw fidelity with 17 hardware evaluations
Reported fidelity of approximately 0.85 without error mitigation
Demonstrated hardware-agnostic quantum control and optimization for NISQ systems
Focused on reproducibility and public documentation of benchmarking results

Abstract

This public benchmark report presents sanitized results from the SoftQuantus QCOS Autopilot validation on IBM Quantum hardware. The report documents the preparation of a 2-qubit Bell state on IBM’s ibmfez Heron r2 processor, achieving approximately 0. 85 raw fidelity with 17 hardware evaluations and no error mitigation. QCOS Autopilot is positioned as a hardware-agnostic quantum control and optimization layer for NISQ-era systems. This public version focuses on benchmark outcomes, reproducibility context, and enterprise positioning, while excluding proprietary implementation details, internal heuristics, optimization logic, and confidential execution artifacts. The report is intended for researchers, quantum software developers, infrastructure partners, investors, and institutions evaluating hardware-efficient quantum control, reproducible quantum benchmarking, and vendor-agnostic quantum computing workflows.

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