Practical challenges in simulating quantum systems on classical computers have been
widely recognized in the quantum physics and quantum chemistry communities over the …

Quantum information science offers inherently more powerful methods for communication,
computation, and precision measurement that take advantage of quantum superposition and …

Single self-assembled InAs/GaAs quantum dots are promising bright sources of
indistinguishable photons for quantum information science. However, their distribution in …

The collective interference of partially distinguishable bosons in multimode networks is
studied via double-sided Feynman diagrams. The probability for many-body scattering …

A quantum circuit learning approach is studied to carry out the fast-fitting of Gaussian
functions. First, a parameterized structure is designed for quantum circuits based on the …

Sampling from a quantum distribution can be exponentially hard for classical computers and
yet could be performed efficiently by a noisy intermediate-scale quantum device. A prime …

We study the sampling complexity of a probability distribution associated with an ensemble
of identical noninteracting bosons undergoing a quantum random walk on a one …

Boson sampling, the task of sampling the probability distribution of photons at the output of a
photonic network, is believed to be hard for any classical device. Unlike other models of …

Boson sampling (BS) is an elegant candidate for the proof of quantum supremacy, and the
exploration of its practical cryptographic applications is just at the beginning, including one …

We present an efficient approach to precisely simulate tight binding models with optical
lattices, based on programmable digital-micromirror-device (DMD) techniques. Our …