For quantum computers to successfully solve real-world problems, it is necessary to tackle
the challenge of noise: the errors that occur in elementary physical components due to …

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 …

The vacuum of the lattice Schwinger model is prepared on up to 100 qubits of IBM's Eagle-
processor quantum computers. A new algorithm to prepare the ground state of a gapped …

Key static and dynamic properties of matter—from creation in the Big Bang to evolution into
subatomic and astrophysical environments—arise from the underlying fundamental …

Hadron wave packets are prepared and time evolved in the Schwinger model using 112
qubits of IBM's 133-qubit Heron quantum computer ibm_torino. The initialization of the …

Learning a many-body Hamiltonian from its dynamics is a fundamental problem in physics.
In this Letter, we propose the first algorithm to achieve the Heisenberg limit for learning an …

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 …

Digital quantum computers provide a computational framework for solving the Schrödinger
equation for a variety of many‐particle systems. Quantum computing algorithms for the …

Contemporary quantum computers have relatively high levels of noise, making it difficult to
use them to perform useful calculations, even with a large number of qubits. Quantum error …

Quantum simulations of chemistry in first quantization offer some important advantages over
approaches in second quantization including faster convergence to the continuum limit and …