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Related Experiment Video

Updated: Jun 18, 2025

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

Bell Sampling from Quantum Circuits.

Dominik Hangleiter¹, Michael J Gullans¹

¹<a href="https://ror.org/02048n894">Joint Center for Quantum Information and Computer Science</a>, NIST/University of Maryland, College Park, Maryland 20742, USA.

Physical Review Letters

|July 29, 2024

Summary

This summary is machine-generated.

Bell sampling, a universal quantum computation model, offers a new method for benchmarking quantum computer performance and demonstrating capabilities. This approach provides a "circuit shadow" for efficient information extraction and error diagnosis, aiding the path to fault tolerance.

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Area of Science:

Quantum Information Science
Quantum Computing
Quantum Computation Verification

Background:

Benchmarking quantum computer performance is a central challenge.
Demonstrating computational capabilities is crucial for advancing quantum technologies.
Developing methods for verification is essential for achieving fault-tolerant quantum computation.

Purpose of the Study:

Introduce Bell sampling as a universal model for quantum computation.
Utilize Bell sampling for benchmarking and demonstrating quantum computational capabilities.
Establish Bell sampling as a stepping stone toward fault-tolerant quantum computers.

Main Methods:

Employing Bell sampling by measuring two copies of a quantum circuit-prepared state in the transversal Bell basis.
Analyzing Bell samples to extract information about the quantum circuit and diagnose errors.
Developing new efficient protocols for extracting circuit properties.

Main Results:

Bell samples are classically intractable to produce, indicating quantum advantage.
Bell samples act as a "circuit shadow," enabling efficient information extraction and error diagnosis.
New protocols include estimators for state fidelity and Pauli expectation values, a circuit depth test, and a T gate count estimator.

Conclusions:

Bell sampling serves as a universal model for quantum computation, verification, and benchmarking.
The "circuit shadow" property of Bell samples facilitates efficient diagnostics and information extraction.
This work provides new tools for characterizing quantum circuits and advancing toward fault tolerance.