Lower Bounds on Quantum Annealing Times
arXiv:2210.15687 · doi:10.1103/PhysRevLett.130.140601
Abstract
The adiabatic theorem provides sufficient conditions for the time needed to prepare a target ground state. While it is possible to prepare a target state much faster with more general quantum annealing protocols, rigorous results beyond the adiabatic regime are rare. Here, we provide such a result, deriving lower bounds on the time needed to successfully perform quantum annealing. The bounds are asymptotically saturated by three toy models where fast annealing schedules are known: the Roland and Cerf unstructured search model, the Hamming spike problem, and the ferromagnetic p-spin model. Our bounds demonstrate that these schedules have optimal scaling. Our results also show that rapid annealing requires coherent superpositions of energy eigenstates, singling out quantum coherence as a computational resource.
arXiv commentaccepted to PRL
References in corpus (33)
- Quantifying Coherence
- Quantum Annealing in the Transverse Ising Model
- Quantum Coherence as a Resource
- Adiabatic Quantum Computing
- Shortcuts to adiabaticity: concepts, methods, and applications
- Quantum Search by Local Adiabatic Evolution
- Shortcuts to adiabaticity by counter-diabatic driving
- Perspectives of quantum annealing: Methods and implementations
- Bounds for the adiabatic approximation with applications to quantum computation
- Trace-distance measure of coherence
- Coherence as a resource in decision problems: The Deutsch-Jozsa algorithm and a variation
- Anderson localization casts clouds over adiabatic quantum optimization
- Coherence depletion in the Grover quantum search algorithm
- Prospects for Quantum Enhancement with Diabatic Quantum Annealing
- Quantum annealing with antiferromagnetic fluctuations
- Nonstoquastic Hamiltonians and Quantum Annealing of an Ising Spin Glass
- Focus on Shortcuts to Adiabaticity
- Tunneling and speedup in quantum optimization for permutation-symmetric problems
- Many-body transverse interactions in the quantum annealing of the p-spin ferromagnet
- On quantum mean-field models and their quantum annealing
- On the Role of Coherence in Shor's Algorithm
- Counterdiabatic driving in the quantum annealing of the -spin model: a variational approach
- Fast adiabatic evolution by oscillating initial Hamiltonians
- Necessary Condition for the Quantum Adiabatic Approximation
- Non-Stoquastic Interactions in Quantum Annealing via the Aharonov-Anandan Phase
- Genetic optimization of quantum annealing
- Relation between quantum fluctuations and the performance enhancement of quantum annealing in a nonstoquastic Hamiltonian
- Analog Nature of Quantum Adiabatic Unstructured Search
- De-Signing Hamiltonians for Quantum Adiabatic Optimization
- Necessary Adiabatic Run Times in Quantum Optimization
- Spectral Gap Analysis for Efficient Tunneling in Quantum Adiabatic Optimization
- Diffusion Monte Carlo approach versus adiabatic computation for local Hamiltonians
- How Quantum is the Speedup in Adiabatic Unstructured Search?
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- Analytical results for the Quantum Alternating Operator Ansatz with Grover Mixer
- Limits on the Evolutionary Rates of Biological Traits
- Quantum Annealing and Graph Neural Networks for Solving TSP with QUBO
- Tighter Lower Bounds on Quantum Annealing Times
- Lower bounds on the number of rounds of the quantum approximate optimization algorithm required for guaranteed approximation ratios
- Optimized adiabatic-impulse protocol preserving Kibble-Zurek scaling with attenuated anti-Kibble-Zurek behavior