How to experimentally evaluate the adiabatic condition for quantum annealing
arXiv:2208.02553 · doi:10.1038/s41598-024-58286-2
Abstract
We propose an experimental method for evaluating the adiabatic condition during quantum annealing (QA), which will be essential for solving practical problems. The adiabatic condition consists of the transition matrix element and the energy gap, and our method simultaneously provides information about these components without diagonalizing the Hamiltonian. The key idea is to measure the power spectrum of a time domain signal by adding an oscillating field during QA, and we can estimate the values of the transition matrix element and energy gap from the measurement output. Our results provides a powerful experimental basis for analyzing the performance of QA.
arXiv comment19 pages, 17 figures
References in corpus (45)
- Quantum Annealing in the Transverse Ising Model
- QuTiP 2: A Python framework for the dynamics of open quantum systems
- Adiabatic Quantum Computing
- Dynamical decoupling and noise spectroscopy with a superconducting flux qubit
- A short introduction to the Lindblad Master Equation
- Quantum Search by Local Adiabatic Evolution
- Perspectives of quantum annealing: Methods and implementations
- Robustness of adiabatic quantum computation
- Decoherence of flux qubits due to 1/f flux noise
- Mathematical Foundation of Quantum Annealing
- Bounds for the adiabatic approximation with applications to quantum computation
- Experimental investigation of performance differences between Coherent Ising Machines and a quantum annealer
- Spectroscopy on two coupled flux qubits
- Adiabatic Quantum Computation in Open Systems
- Adiabatic approximation in open quantum systems
- Adiabatic Quantum Simulation of Quantum Chemistry
- Quantum Speedup by Quantum Annealing
- Tuning the Gap of a Superconducting Flux Qubit
- Strongly coupling a cavity to inhomogeneous ensembles of emitters : potential for long lived solid-state quantum memories
- Quantum Annealing: An Overview
- Quantum annealing with antiferromagnetic fluctuations
- Energy gaps in quantum first-order mean-field-like transitions: The problems that quantum annealing cannot solve
- Demonstration of a Tuneable Coupler for Superconducting Qubits Using Coherent, Time Domain, Two-Qubit Operations
- Nonstoquastic Hamiltonians and Quantum Annealing of an Ising Spin Glass
- Adiabaticity in open quantum systems
- Flux qubit noise spectroscopy using Rabi oscillations under strong driving conditions
- Adiabatic Quantum Linear Regression
- Exponential Speedup of Quantum Annealing by Inhomogeneous Driving of the Transverse Field
- Coherent Operation of a Gap-tunable Flux Qubit
- Exact Rotating Wave Approximation
- Evaluating energy differences on a quantum computer with robust phase estimation
- Rapid counter-diabatic sweeps in lattice gauge adiabatic quantum computing
- Adiabatic Spectroscopy and a Variational Quantum Adiabatic Algorithm
- Electronic structure with direct diagonalization on a D-Wave quantum annealer
- The Power of Adiabatic Quantum Computation with No Sign Problem
- Driven-state relaxation of a coupled qubit-defect system in spin-locking measurements
- Quantum annealing with capacitive-shunted flux qubits
- Quantum annealing with twisted fields
- Generalized Adiabatic Theorems: Quantum Systems Driven by Modulated Time-Varying Fields
- Effective spin models of Kerr-nonlinear parametric oscillators for quantum annealing
- Preparing ground states of the XXZ model using the quantum annealing with inductively coupled superconducting flux qubits
- Enhancing quantum annealing performance by a degenerate two-level system
- Improving Schrödinger Equation Implementations with Gray Code for Adiabatic Quantum Computers
- Nonstoquastic catalyst for bifurcation-based quantum annealing of ferromagnetic -spin model
- Quantum Phase Transition in Fully-Connected Quantum Wajnflasz-Pick Model
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