Quantum search by measurement
Andrew M. Childs, Enrico Deotto, Edward Farhi, Jeffrey Goldstone, Sam Gutmann, Andrew J. Landahl
Abstract
We propose a quantum algorithm for solving combinatorial search problems that uses only a sequence of measurements. The algorithm is similar in spirit to quantum computation by adiabatic evolution, in that the goal is to remain in the ground state of a time-varying Hamiltonian. Indeed, we show that the running times of the two algorithms are closely related. We also show how to achieve the quadratic speedup for Grover's unstructured search problem with only two measurements. Finally, we discuss some similarities and differences between the adiabatic and measurement algorithms.
Create a lesson
Related papers
Comment on "Supervised Learning with Quantum Hamiltonian Embeddings" (arXiv:2610.26833)
Alexander G. Abanov, Luca Candelori, Kharen Musaelian
Data informed Ansatz Selection for Variational Quantum Circuits
Manav Seksaria, Advith Desu, Anil Prabhakar
Operational Thresholds for Long-Range Entanglement in Quantum Networks
Arn Caesar, Xinqi Hu, Kim Christensen
QECert: Formal Foundations for Quantum Error-Correction Theory in Lean
Keming He, Jiahan Chen, Enji Xiong et al.
Reopening the one clean qubit case of a semi-grand challenge
Christopher W. Mansell
Recoverability of Gravitational Entanglement under Decoherence
Yi-Xuan Wang, Julen S. Pedernales, Martin B. Plenio