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Variational Quantum Fidelity Estimation

Marco Cerezo, Alexander Poremba, Lukasz Cincio, Patrick J. Coles

2020Quantum113 citationsDOIOpen Access PDF

Abstract

Computing quantum state fidelity will be important to verify and characterize states prepared on a quantum computer. In this work, we propose novel lower and upper bounds for the fidelity<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>F</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mi>ρ</mml:mi><mml:mo>,</mml:mo><mml:mi>σ</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:math>based on the ``truncated fidelity''<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>F</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:msub><mml:mi>ρ</mml:mi><mml:mi>m</mml:mi></mml:msub><mml:mo>,</mml:mo><mml:mi>σ</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:math>, which is evaluated for a state<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>ρ</mml:mi><mml:mi>m</mml:mi></mml:msub></mml:math>obtained by projecting<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ρ</mml:mi></mml:math>onto its<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>m</mml:mi></mml:math>-largest eigenvalues. Our bounds can be refined, i.e., they tighten monotonically with<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>m</mml:mi></mml:math>. To compute our bounds, we introduce a hybrid quantum-classical algorithm, called Variational Quantum Fidelity Estimation, that involves three steps: (1) variationally diagonalize<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ρ</mml:mi></mml:math>, (2) compute matrix elements of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>σ</mml:mi></mml:math>in the eigenbasis of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ρ</mml:mi></mml:math>, and (3) combine these matrix elements to compute our bounds. Our algorithm is aimed at the case where<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>σ</mml:mi></mml:math>is arbitrary and<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ρ</mml:mi></mml:math>is low rank, which we call low-rank fidelity estimation, and we prove that no classical algorithm can efficiently solve this problem under reasonable assumptions. Finally, we demonstrate that our bounds can detect quantum phase transitions and are often tighter than previously known computable bounds for realistic situations.

Topics & Concepts

QuantumFidelityQuantum algorithmQuantum phase estimation algorithmMonotonic functionQuantum computerState (computer science)Computer scienceUpper and lower boundsAlgorithmMathematicsMatrix (chemical analysis)Quantum stateHigh fidelityQuantum systemApplied mathematicsPhase (matter)Quantum processQuantum error correctionStatistical physicsQuantum informationScheme (mathematics)Quantum operationTopology (electrical circuits)Set (abstract data type)Limit (mathematics)Discrete mathematicsAdiabatic quantum computationQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum Mechanics and Applications
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