Litcius/Paper detail

Estimating expectation values using approximate quantum states

Marco Paini, Amir Kalev, Dan Padilha, Brendan Ruck

2021Quantum24 citationsDOIOpen Access PDF

Abstract

We introduce an approximate description of an <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>N</mml:mi></mml:math>-qubit state, which contains sufficient information to estimate the expectation value of any observable to a precision that is upper bounded by the ratio of a suitably-defined seminorm of the observable to the square root of the number of the system's identical preparations <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>M</mml:mi></mml:math>, with no explicit dependence on <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>N</mml:mi></mml:math>. We describe an operational procedure for constructing the approximate description of the state that requires, besides the quantum state preparation, only single-qubit rotations followed by single-qubit measurements. We show that following this procedure, the cardinality of the resulting description of the state grows as <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mn>3</mml:mn><mml:mi>M</mml:mi><mml:mi>N</mml:mi></mml:math>. We test the proposed method on Rigetti's quantum processor unit with 12, 16 and 25 qubits for random states and random observables, and find an excellent agreement with the theory, despite experimental errors.

Topics & Concepts

ObservableMathematicsBounded functionState (computer science)QubitQuantum stateCardinality (data modeling)QuantumValue (mathematics)Quantum systemDiscrete mathematicsStatistical physicsQuantum algorithmRandom variableSquare rootSigmaExpected valueApplied mathematicsQuantum informationQuantum operationQuantum phase estimation algorithmQuantum entanglementSquare (algebra)Measure (data warehouse)Markov processWeak measurementUpper and lower boundsCombinatoricsQuantum computerAlgorithmInterval (graph theory)Quantum Information and CryptographyQuantum Mechanics and ApplicationsQuantum Computing Algorithms and Architecture