February 1, 2008 | Dorit Aharonov, Wim van Dam, Julia Kempe, Zeph Landau, Seth Lloyd, Oded Regev
The paper "Adiabatic Quantum Computation is Equivalent to Standard Quantum Computation" by Dorit Aharonov, Julia Kempe, Seth Lloyd, Wim van Dam, Zeph Landau, and Oded Regev explores the computational power of adiabatic quantum computation. The authors show that adiabatic quantum computation is polynomially equivalent to standard quantum computation, meaning that any quantum algorithm can be efficiently simulated using adiabatic methods, and vice versa. This equivalence is demonstrated through the construction of an adiabatic simulation of a given quantum algorithm using 3-local Hamiltonians. The paper also discusses the physical realizability of adiabatic computation, showing that it can be efficiently simulated using nearest-neighbor interactions on a two-dimensional grid of particles. The results have implications for the design of quantum algorithms and the study of quantum complexity, particularly in the context of explicit sparse Hamiltonians. The authors also highlight the potential advantages of adiabatic computation in terms of fault tolerance and robustness against certain types of quantum errors.The paper "Adiabatic Quantum Computation is Equivalent to Standard Quantum Computation" by Dorit Aharonov, Julia Kempe, Seth Lloyd, Wim van Dam, Zeph Landau, and Oded Regev explores the computational power of adiabatic quantum computation. The authors show that adiabatic quantum computation is polynomially equivalent to standard quantum computation, meaning that any quantum algorithm can be efficiently simulated using adiabatic methods, and vice versa. This equivalence is demonstrated through the construction of an adiabatic simulation of a given quantum algorithm using 3-local Hamiltonians. The paper also discusses the physical realizability of adiabatic computation, showing that it can be efficiently simulated using nearest-neighbor interactions on a two-dimensional grid of particles. The results have implications for the design of quantum algorithms and the study of quantum complexity, particularly in the context of explicit sparse Hamiltonians. The authors also highlight the potential advantages of adiabatic computation in terms of fault tolerance and robustness against certain types of quantum errors.