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Optimal fermion-to-qubit mapping via ternary trees with applications to reduced quantum states learning

Zhang Jiang, Amir Kalev, Wojciech Mruczkiewicz, Hartmut Neven

2020Quantum65 citationsDOIOpen Access PDF

Abstract

We introduce a fermion-to-qubit mapping defined on ternary trees, where any single Majorana operator on an<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>n</mml:mi></mml:math>-mode fermionic system is mapped to a multi-qubit Pauli operator acting nontrivially on<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mo fence="false" stretchy="false">⌈</mml:mo><mml:msub><mml:mi>log</mml:mi><mml:mn>3</mml:mn></mml:msub><mml:mo>⁡</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mn>2</mml:mn><mml:mi>n</mml:mi><mml:mo>+</mml:mo><mml:mn>1</mml:mn><mml:mo stretchy="false">)</mml:mo><mml:mo fence="false" stretchy="false">⌉</mml:mo></mml:math>qubits. The mapping has a simple structure and is optimal in the sense that it is impossible to construct Pauli operators in any fermion-to-qubit mapping acting nontrivially on less than<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>log</mml:mi><mml:mn>3</mml:mn></mml:msub><mml:mo>⁡</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mn>2</mml:mn><mml:mi>n</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:math>qubits on average. We apply it to the problem of learning<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>k</mml:mi></mml:math>-fermion reduced density matrix (RDM), a problem relevant in various quantum simulation applications. We show that one can determine individual elements of all<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>k</mml:mi></mml:math>-fermion RDMs in parallel, to precision<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ϵ</mml:mi></mml:math>, by repeating a single quantum circuit for<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mo>≲</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mn>2</mml:mn><mml:mi>n</mml:mi><mml:mo>+</mml:mo><mml:mn>1</mml:mn><mml:msup><mml:mo stretchy="false">)</mml:mo><mml:mi>k</mml:mi></mml:msup><mml:msup><mml:mi>ϵ</mml:mi><mml:mrow class="MJX-TeXAtom-ORD"><mml:mo>−</mml:mo><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math>times. This result is based on a method we develop here that allows one to determine individual elements of all<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>k</mml:mi></mml:math>-qubit RDMs in parallel, to precision<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ϵ</mml:mi></mml:math>, by repeating a single quantum circuit for<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mo>≲</mml:mo><mml:msup><mml:mn>3</mml:mn><mml:mi>k</mml:mi></mml:msup><mml:msup><mml:mi>ϵ</mml:mi><mml:mrow class="MJX-TeXAtom-ORD"><mml:mo>−</mml:mo><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math>times, independent of the system size. This improves over existing schemes for determining qubit RDMs.

Topics & Concepts

Computer scienceOperator (biology)Simple (philosophy)QuantumConstruct (python library)Pauli exclusion principleQubitPauli matricesTernary operationAlgorithmTopology (electrical circuits)Quantum stateQuantum systemTheoretical computer scienceDensity matrixBinary numberMatrix (chemical analysis)State (computer science)MathematicsDiscrete mathematicsMAJORANAQuantum algorithmQuantum computerQuantum operationQuantum error correctionBase (topology)Quantum networkQuantum channelQutritQuantum circuitBitwise operationQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum many-body systems
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