Abstract

Topological measurement-based quantum computation (MBQC) enables one to carry out universal fault-tolerant quantum computation via single-qubit Pauli measurements with a family of large entangled states called cluster states as resources. Raussendorf's three-dimensional cluster states (RTCSs) based on the surface codes are mainly considered for topological MBQC. In such schemes, however, the fault-tolerant implementation of the logical Hadamard, phase ($Z^{1/2}$), and $T$ ($Z^{1/4}$) gates which are essential for building up arbitrary logical gates has not been achieved to date without using state distillation, while the controlled-NOT (CNOT) gate does not require it, to best of our knowledge. State distillation generally consumes many ancillary logical qubits, thus it is a severe obstacle against practical quantum computing. To solve this problem, we suggest an MBQC scheme via a family of cluster states called color-code-based cluster states (CCCSs) based on the two-dimensional color codes instead of the surface codes. We define logical qubits, construct elementary logical gates, and describe error correction schemes. We show that all the logical Clifford gates including the CNOT, Hadamard, and phase gates can be implemented fault-tolerantly without state distillation, although the fault-tolerant $T$ gate still requires it. We further prove that the minimal number of physical qubits per logical qubit in a CCCS is at most approximately 1.8 times smaller than the case of an RTCS. We lastly show that the error threshold of MBQC via CCCSs for logical-$Z$ errors is 2.7-2.8%, which is comparable to the value for RTCSs, assuming a simple error model where physical qubits have $X$-measurement or $Z$ errors independently with the same probability.

Highlights

  • Three major theoretical challenges for quantum computation (QC) are universality, fault tolerance, and resource efficiency

  • To solve the above problem, we propose a measurement-based quantum computation (MBQC) scheme via a family of cluster states based on the 2D color codes instead of the surface codes, called color-code-based cluster states (CCCSs)

  • An error set constructed by this way flips three primal parity-check operators (PCs) located at its ends and is referred to as a “pj-EC.” (A single-qubit error separated from other error sets is regarded as a pj-EC by itself.) General error chains are obtained by connecting multiple pc-ECs for each color c and pj-ECs

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Summary

INTRODUCTION

Three major theoretical challenges for quantum computation (QC) are universality, fault tolerance, and resource efficiency. MBQC via RTCSs is powerful from the point of view of fault tolerance but has a significant drawback: There are no ways to natively implement the topologically protected logical Hadamard, phase, and T gates unlike the CNOT gate, to the best of our knowledge. There have been proposals to map lattice surgery [63] onto MBQC models [44,50] With their methods, the Hadamard and phase gates can be fault tolerantly implemented without distillation by “dislocating” the RTCS lattice structure (i.e., transforming the lattice locally) when the gates are applied.

CLUSTER STATES AND MEASUREMENT-BASED QUANTUM COMPUTATION
COLOR-CODE-BASED CLUSTER STATES
Two-dimensional color-code lattices
Construction of color-code-based cluster states
Stabilizer generators
Shrunk lattices and correlation surfaces
MEASUREMENT-BASED QUANTUM COMPUTATION VIA COLOR-CODE-BASED CLUSTER STATE
Measurement pattern
Defects and related correlation surfaces
Defining a logical qubit
Initialization and measurement of a logical qubit
Identity gate
CNOT and primality-switching gates
Hadamard gate
Phase gate
State injection
ERROR CORRECTION
Error correction in the vacuum
Error correction near defects
Error correction near Y-planes
Error model
Simulation methods
Results
Resource overheads for placing logical qubits
Resource overheads for nontrivial logical gates
VIII. REMARKS
Proof of the first statement
Proof of the second statement
Proof of the third statement
Patch-based RTCS computation
Defect-based RTCS computation
CCCS computation
Optimal arrangement for general logical gates
Findings
Simplified defect models
Full Text
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