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Efficient verification of quantum processes
Ye-Chao Liu, Jiangwei Shang, Xiao-Dong Yu, Xiangdong Zhang
TL;DR
Quantum-process characterization becomes resource-intensive for traditional methods, motivating more efficient verification. The paper introduces ancilla-assisted and prepare-and-measure quantum process verification by connecting processes to Choi states and QSV. The protocols improve over QPT and DFE, use local measurements, and extend to gates, circuits, postselected processes, and quantum measurements.
Problem
Traditional characterization of quantum processes requires exponentially increasing resources, making efficient verification important for quantum information processing.
Source: §I · p. 1Method
The paper proposes quantum process verification through ancilla-assisted and prepare-and-measure protocols based on Choi-state verification and QSV.
Source: §I · p. 1, §III · p. 2, §IV · p. 3Results
The protocols provide an exponential improvement over QPT, a quadratic improvement over DFE, and local-measurement implementation across gates and quantum circuits.
Source: §I · p. 2, §VIII · p. 6Takeaways & Limitations
The protocols can verify quantum processes efficiently in practical settings and can be adapted to verify quantum measurements.
Source: §I · p. 2, §VIII · p. 6
Abstract
from arXiv · showhide
Quantum processes, such as quantum circuits, quantum memories, and quantum channels, are essential ingredients in almost all quantum information processing tasks. However, the characterization of these processes remains a daunting task due to the exponentially increasing amount of resources required by traditional methods. Here, by first proposing the concept of quantum process verification, we establish two efficient and practical protocols for verifying quantum processes which can provide an exponential improvement over the standard quantum process tomography and a quadratic improvement over the method of direct fidelity estimation. The efficacy of our protocols is illustrated with the verification of various quantum gates as well as the processes of well-known quantum circuits. Moreover, our protocols are readily applicable with current experimental techniques since only local measurements are required. In addition, we show that our protocols for verifying quantum processes can be easily adapted to verify quantum measurements.
I. INTRODUCTION
Quantum-process characterization is essential but standard tomography becomes impractical as qubit count grows. The paper introduces quantum process verification, adapting efficient state-verification ideas into two practical protocols.
- O(4^n) measurements make standard quantum process tomography impractical for intermediate-size n-qubit devices.Source: §I · p. 1
- Existing alternatives, including compressed sensing, direct fidelity estimation, randomized benchmarking, and accreditation, retain resource or applicability limitations.Source: §I · p. 1
- Quantum state verification provides a model based on efficient local pass-or-fail tests for confirming target states.Source: §I · p. 1
- Quantum process verification is proposed through two protocols derived by relating processes to states via the Choi-Jamiołkowski isomorphism.The protocols are ancilla-assisted and prepare-and-measure, with the latter requiring no ancilla systems.Source: §I · p. 1
- The protocols demonstrate exponential improvement over QPT, quadratic improvement over DFE, local-measurement implementation, and adaptation to quantum-measurement verification.Source: §I · p. 2
II. CHOI-JAMIO LKOWSKI ISOMORPHISM
The Choi-Jamiołkowski isomorphism represents a quantum process by a corresponding Choi matrix. This representation preserves key structural information and motivates ancilla-assisted process characterization.
- Applying a process to one half of an entangled state produces its Choi matrix, from which the process can be recovered.Source: §II · p. 2
- The Choi-Jamiołkowski isomorphism maps Choi matrices to linear maps and identifies complete positivity with positive semidefiniteness.Source: §II · p. 2
- The framework does not require trace preservation, allowing treatment of postselection and particle losses.Source: §II · p. 2
- Determining the Choi matrix determines all information about the process, motivating ancilla-assisted quantum process tomography with fixed entangled inputs.Source: §II · p. 2
III. ANCILLA-ASSISTED QUANTUM PROCESS VERIFICATION
Ancilla-assisted quantum process verification converts verification of a unitary gate into verification of its pure maximally entangled Choi state. Quantum-state-verification strategies then provide the process sample complexity.
- A unitary gate can be verified by applying QSV to its corresponding pure maximally entangled Choi state.Source: §III · p. 2
- The gate-verification task distinguishes entanglement fidelity 1 from fidelity at most 1−ϵ using confidence 1−δ, with sample complexity as the resource measure.Source: §III · p. 2
- For any quantum gate U, verification to entanglement fidelity 1−ϵ and confidence 1−δ requires N ≈ 1/ν(Ω) ϵ^-1 ln δ^-1 input states.Source: §III · p. 2
- Trace-preserving constraints can improve efficiency, while relaxing trace preservation makes the relevant bound attainable.Source: §III · p. 2
- The indirect Choi-state strategy is named ancilla-assisted quantum process verification and extends to processes with pure corresponding Choi states.Source: §III · p. 2
IV. PREPARE-AND-MEASURE QUANTUM PROCESS VERIFICATION
Prepare-and-measure quantum process verification removes the need for ancillas by converting one-way adaptive state-verification protocols into input-state and output-measurement tests. This conversion preserves verification efficiency while trading one entangled input for multiple input-state types.
- A one-way adaptive ancilla-assisted protocol can be converted to a prepare-and-measure protocol without efficiency loss.Source: §IV · p. 3
- The prepare-and-measure protocol randomly selects an input state and applies a corresponding pass-or-fail measurement to the output.Source: §IV · p. 3
- The conversion preserves the ancilla-assisted worst-case failure bound, yielding equal efficiency for verifying a quantum gate.Source: §IV · p. 3
- Ancilla-assisted verification uses one entangled input kind, whereas prepare-and-measure verification uses no ancilla but requires multiple input-state kinds.Source: §IV · p. 3
- General spherical 2-designs can provide experimentally convenient input states in unrestricted settings.Source: §IV · p. 3
V. APPLICATIONS
The protocols are applied to verify quantum gates, Clifford circuits, controlled gates, and quantum algorithms. These applications achieve efficient verification using local measurements, with quadratic speedup over DFE for Clifford circuits.
Applications
- The protocols verify cnot, arbitrary Clifford circuits, n-qubit C^(n−1)Z and C^(n−1)X gates, including Toffoli gates, as well as processes from the Deutsch-Jozsa algorithm.The C^(n−1)X verification is equivalent to that of C^(n−1)Z up to local unitary transformations.Source: §V · pp. 3–4
cnot and Clifford circuits
- The cnot verification can be improved by employing more measurement settings, and Clifford circuits become universal for quantum computation with suitable state preparations.Source: §V · p. 4
Clifford circuits
- For any n-qubit Clifford circuit, the protocols provide verification to entanglement fidelity 1−ϵ and confidence 1−δ using only local Pauli measurements.The Choi state is a stabilizer state, enabling systematic verification through its stabilizers.Source: §V · p. 4
- Quadratic speedup over DFE is obtained for Clifford-circuit verification, whose DFE sample complexity is O(ϵ−2 log δ−1).The protocols are also quadratically more efficient than randomized benchmarking when sample complexity is considered.Source: §V · p. 4
Controlled gates
- N ≈(n + 1)ϵ−1 ln δ−1 input states verify n-qubit C^(n−1)Z gates to fidelity 1−ϵ and confidence 1−δ.The output Choi state is a hypergraph state with an (n + 1)-coloring, giving spectral gap ν(Ω)=1/(n + 1).Source: §V · p. 4, Figure 1 · p. 4
VI. VERIFICATION OF NON-TRACE-PRESERVING PROCESSES
The protocols extend to non-trace-preserving processes, including postselected processes and particle-loss settings, by verifying the corresponding postselected Choi state. A one-way adaptive QSV protocol can be converted to a prepare-and-measure protocol without efficiency loss.
Physical setting
- When processes are not trace preserving because of postselection or particle losses, verification is conditioned on obtaining an output state.The postselected Choi state is not guaranteed to be produced for every input.Source: §VI · pp. 4–5
Scope and assumptions
- Under postselection, the process can be verified only up to a constant factor c because ˜K is invariant under K→cK.The number of postselected output states is therefore used as the resource measure.Source: §VI · p. 5
- Relaxing trace preservation allows the corresponding Choi state to be any quantum state, while trace-preserving processes impose an additional reduced-state constraint.Source: §VI · p. 5
Postselected processes
- N ≈ν(Ω)^−1ϵ−1 ln δ−1 postselected output states suffice to verify a postselected process to entanglement fidelity 1−ϵ and confidence 1−δ.This follows by applying QSV to the process’s postselected Choi state.Source: §VI · p. 5
Protocol conversion
- The AAPV protocol converts to a PMPV protocol with equal efficiency for processes with postselection.The conversion applies to one-way adaptive QSV protocols.Source: §VI · pp. 5–6
VII. VERIFICATION OF QUANTUM MEASUREMENTS
The process-verification framework can be adapted to quantum measurements, including projective and entangled measurements. Projective measurements require N ≈ϵ−1 ln δ−1 input states under the stated verification protocol.
Measurement verification
- Measurement verification differs from process verification because reliable quantum measurements cannot be assumed available for verifying the measurement device itself.Source: §VII · p. 6
Projective measurements
- N ≈ϵ−1 ln δ−1 input states suffice to verify the projective measurement P.The protocol randomly prepares |i⟩ with probability 1/d and passes when measurement M returns outcome i.Source: §VII · p. 6
Entangled measurements
- For entangled measurements, verification can use entangled inputs or treat the measurement as a postselected quantum process when single-partite measurements are trusted.Source: §VII · p. 6
VIII. SUMMARY
The paper introduces quantum process verification with two efficient protocols that improve over tomography and direct fidelity estimation while using local measurements. It demonstrates applications to gates, circuits, algorithms, and quantum measurements.
Summary
- Quantum process verification provides an exponential improvement over quantum process tomography and a quadratic improvement over direct fidelity estimation.Source: §VIII · p. 6
- The protocols verify quantum gates, quantum circuits, and processes of quantum algorithms, and can also efficiently verify quantum measurements.Source: §VIII · p. 6
- Only local measurements are required, making the protocols compatible with current experimental techniques.The paper identifies state-preparation and measurement errors as an important direction for future modification.Source: §VIII · p. 6
Appendix A: More applications
The appendix extends the AAPV and PMPV protocols to verify additional quantum gates.
- The appendix presents verification of more quantum gates using the AAPV and PMPV protocols.Source: Appendix A · p. 6
1. Identity
The appendix applies the verification protocols to the identity, bit-flip, Hadamard, and phase gates. For the identity, the stated protocol has spectral gap 1/2, while adding measurement settings improves the efficiency to 2/3.
1. Identity
- The identity process is trivial, with Choi matrix equal to the maximally entangled state itself.Source: §1 · p. 6
- The identity AAPV protocol has spectral gap ν(ΩΥI) = 1/2, and its PMPV verification operator specifies prepare-and-measure operators with their probability distributions.Source: §1 · p. 7
- The identity protocol ΩΥI is not optimal; using more measurement settings improves its efficiency to ν(ΩΥI) = 2/3.Source: §1 · p. 7
2. The bit-flip gate
Appendix B: Verification of the Deutsch-Jozsa algorithm
The appendix applies the protocols to constant and balanced cases of the Deutsch-Jozsa algorithm. For a representative constant case, the constructed AAPV protocol uses six stabilizer generators and requires N ≈6ϵ−1 ln δ−1 input states for fidelity 1−ϵ and confidence 1−δ.
- The Deutsch-Jozsa algorithm is verified for representative constant and balanced functions using the proposed protocols.Source: Appendix B · p. 7
- For f(x) = 0, the process is I⊗(n+1), while for f(x) = 1 it is I⊗n ⊗Z and can be efficiently verified.Source: Appendix B · p. 7
- The constant-function AAPV construction uses six stabilizer generators and has spectral gap ν(ΩΥf(x)=1) = 1/6.Source: Appendix B · pp. 7–8
- N ≈6ϵ−1 ln δ−1 input states are required for fidelity 1−ϵ and confidence 1−δ in that representative constant case.Source: Appendix B · p. 8
- For a representative balanced case, the three-qubit process I ⊗CNOT is determined by the second qubit, with f(x) = x2.Source: Appendix B · p. 8