We report an accurate and efficient classical simulation of a kicked Ising quantum system on
the heavy hexagon lattice. A simulation of this system was recently performed on a 127-qubit …

Quantum error mitigation has been proposed as a means to combat unwanted and
unavoidable errors in near-term quantum computing without the heavy resource overheads …

The use of kernel functions is a common technique to extract important features from
datasets. A quantum computer can be used to estimate kernel entries as transition …

Estimating expectation values is a key subroutine in quantum algorithms. Near-term
implementations face two major challenges: a limited number of samples required to learn a …

Ground state preparation is classically intractable for general Hamiltonians. On quantum
devices, shallow parametrized circuits can be effectively trained to obtain short-range …

An n-qubit quantum circuit is said to be peaked if it has an output probability that is at least
inverse-polynomially large as a function of n. We describe a classical algorithm with …

Variational quantum circuits have recently gained much interest due to their relevance in
real-world applications, such as combinatorial optimizations, quantum simulations, and …

Motivated by realistic hardware considerations of the pre-fault-tolerant era, we
comprehensively study the impact of uncorrected noise on quantum circuits. We first show …

We show that it is possible to perform Heisenberg-limited metrology on GHZ-like states, in
the presence of generic spatially local, possibly strong interactions during the measurement …

As quantum technology advances, quantum simulation becomes increasingly promising,
with significant implications for quantum many-body physics and quantum chemistry …