Being able to decode brainwaves could help patients who have lost the ability to speak to communicate again, and could ultimately provide novel ways for humans to interact with computers. Now Meta researchers have shown […]
Category: singularityhub
Quantum 6, 802 (2022). https://doi.org/10.22331/q-2022-09-08-802 The challenge of quantum computing is to combine error resilience with universal computation. Diagonal gates such as the transversal $T$ gate play an important role in implementing a universal set […]
Quantum 6, 801 (2022). https://doi.org/10.22331/q-2022-09-08-801 We introduce unique class of cyclic quantum thermal machines (QTMs) which can maximize their performance at the finite value of cycle duration $tau$ where they are most irreversible. These QTMs […]
Quantum 6, 800 (2022). https://doi.org/10.22331/q-2022-09-08-800 We propose a continuous-variable (CV) SWAP test that requires no ancilla register, thereby generalizing the ancilla-free SWAP test for qubits. In this ancilla-free CV SWAP test, the computational basis measurement […]
Quantum 6, 799 (2022). https://doi.org/10.22331/q-2022-09-08-799 In certain regimes, the fidelity of quantum states will decay at a rate set by the classical Lyapunov exponent. This serves both as one of the most important examples of […]
Quantum 6, 798 (2022). https://doi.org/10.22331/q-2022-09-08-798 There is no unique way to encode a quantum algorithm into a quantum circuit. With limited qubit counts, connectivity, and coherence times, a quantum circuit optimization is essential to make […]
Quantum 6, 797 (2022). https://doi.org/10.22331/q-2022-09-08-797 We propose a method for finding approximate compilations of quantum unitary transformations, based on techniques from policy gradient reinforcement learning. The choice of a stochastic policy allows us to rephrase […]
Quantum 6, 796 (2022). https://doi.org/10.22331/q-2022-09-08-796 The Algebraic Bethe Ansatz (ABA) is a highly successful analytical method used to exactly solve several physical models in both statistical mechanics and condensed-matter physics. Here we bring the ABA […]
Quantum 6, 795 (2022). https://doi.org/10.22331/q-2022-09-08-795 The applications of random quantum circuits range from quantum computing and quantum many-body systems to the physics of black holes. Many of these applications are related to the generation of […]
Quantum 6, 794 (2022). https://doi.org/10.22331/q-2022-09-08-794 We investigate attractor quantum neural networks (aQNNs) within the framework of coherence theory. We show that: i) aQNNs are associated to non-coherence-generating quantum channels; ii) the depth of the network […]
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