We present shadow spectroscopy as a simulator-agnostic quantum algorithm for estimating
energy gaps using very few circuit repetitions (shots) and no extra resources (ancilla qubits) …

The recent advances in quantum information processing, sensing, and communications are
surveyed with the objective of identifying the associated knowledge gaps and formulating a …

Quantum computing requires a universal set of gate operations; regarding gates as
rotations, any rotation angle must be possible. However a real device may only be capable …

Analog and digital quantum simulators can efficiently simulate quantum many-body systems
that appear in natural phenomena. However, experimental limitations of near-term devices …

Quantum error mitigation is a key approach for extracting target state properties on state-of-
the-art noisy machines and early fault-tolerant devices. Using the ideas from flag fault …

We present a novel ground-state energy estimation algorithm that is robust under global
depolarizing error channels. Building upon the recently developed Quantum Exponential …

Simulating time evolution is one of the most natural applications of quantum computers and
is thus one of the most promising prospects for achieving practical quantum advantage …

Quantum-enhanced (ie, higher performance by quantum effects than any classical methods)
mean value estimation of observables is a fundamental task in various quantum …

In the realm of quantum information processing, the efficient characterization of entangled
states poses an overwhelming challenge, rendering the traditional methods including …

Twirling noise affecting quantum gates is essential in understanding and controlling errors,
but applicable operations to noise are usually restricted by symmetries inherent in quantum …