It is for the first time that quantum simulation for high-energy physics (HEP) is studied in the
US decadal particle-physics community planning, and in fact until recently, this was not …

Tracking the dynamics of physical systems in real time is a prime application of quantum
computers. Using a trapped-ion system with up to six qubits, we simulate the real-time …

Under suitable assumptions, the quantum-phase-estimation (QPE) algorithm is able to
achieve Heisenberg-limited precision scaling in estimating the ground-state energy …

The advent of near-term digital quantum computers could offer us an exciting opportunity to
investigate quantum many-body phenomena beyond that of classical computing. To make …

With a focus on universal quantum computing for quantum simulation, and through the
example of lattice gauge theories, we introduce rather general quantum algorithms that can …

We study the behavior of errors in the quantum simulation of spin systems with long-range
multibody interactions resulting from the Trotter-Suzuki decomposition of the time-evolution …

Analog quantum algorithms are formulated in terms of Hamiltonians rather than unitary
gates and include quantum adiabatic computing, quantum annealing, and the quantum …

Digital quantum simulation has broad applications in approximating unitary evolution of
Hamiltonians. In practice, many simulation tasks for quantum systems focus on quantum …

Background: The structure and dynamics of many-body systems are the result of a delicate
interplay between underlying interactions. Fermionic pairing, for example, plays a central …

The simulation of adiabatic evolution has deep connections with adiabatic quantum
computation, the quantum approximate optimization algorithm, and adiabatic state …