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20122025
most citedRecent Advances and Applications of Deep Learning Methods in Materials Science

1.2k citations

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5 papers · 1 filter

quant-ph2021★ 2 cited

Spacetime Paths as a Whole

Sky Nelson-Isaacs

The mathematical similarities between non-relativistic wavefunction propagation in quantum mechanics and image propagation in scalar diffraction theory are used to develop a novel…

quant-ph2020★ 3 cited

Quantum relaxation in a system of harmonic oscillators with time-dependent coupling

F. B. Lustosa, S. Colin, S. E. Perez Bergliaffa

In the context of the de Broglie-Bohm pilot wave theory, numerical simulations for simple systems have shown that states that are initially out of quantum equilibrium - thus violat…

quant-ph2018★ 64 cited

Experimental Low-Latency Device-Independent Quantum Randomness

Yanbao Zhang, Lynden K. Shalm, Joshua C. Bienfang +10

Applications of randomness such as private key generation and public randomness beacons require small blocks of certified random bits on demand. Device-independent quantum random n…

quant-ph2018★ 181 cited

Experimentally Generated Randomness Certified by the Impossibility of Superluminal Signals

Peter Bierhorst, Emanuel Knill, Scott Glancy +9

From dice to modern complex circuits, there have been many attempts to build increasingly better devices to generate random numbers. Today, randomness is fundamental to security an…

quant-ph2017★ 12 cited

Diffusion Monte Carlo approach versus adiabatic computation for local Hamiltonians

Jacob Bringewatt, William Dorland, Stephen P. Jordan +1

Most research regarding quantum adiabatic optimization has focused on stoquastic Hamiltonians, whose ground states can be expressed with only real, nonnegative amplitudes. This rai…