Quantum 5, 588 (2021). https://doi.org/10.22331/q-2021-11-25-588 Gleason-type theorems for quantum theory allow one to recover the quantum state space by assuming that (i) states consistently assign probabilities to measurement outcomes and that (ii) there is a […]
Quantum 5, 587 (2021). https://doi.org/10.22331/q-2021-11-24-587 We present two new results about exact learning by quantum computers. First, we show how to exactly learn a $k$-Fourier-sparse $n$-bit Boolean function from $O(k^{1.5}(log k)^2)$ uniform quantum examples for […]
Quantum 5, 586 (2021). https://doi.org/10.22331/q-2021-11-23-586 We present a new tensor network algorithm for calculating the partition function of interacting quantum field theories in 2 dimensions. It is based on the Tensor Renormalization Group (TRG) protocol, […]
Progress in quantum computing is no longer just about how big your chip is. But IBM has taken a major leap forward with the release of a 127-qubit processor. Milestones in quantum computing are getting […]
Quantum 5, 585 (2021). https://doi.org/10.22331/q-2021-11-22-585 We study the performance of medium-length quantum LDPC (QLDPC) codes in the depolarizing channel. Only degenerate codes with the maximal stabilizer weight much smaller than their minimum distance are considered. […]
Quantum 5, 584 (2021). https://doi.org/10.22331/q-2021-11-18-584 I’ve been building Powerpoint-based quantum computers with electron spins in silicon for 20 years. Unfortunately, real-life-based quantum dot quantum computers are harder to implement. Materials, fabrication, and control challenges still […]
Quantum 5, 583 (2021). https://doi.org/10.22331/q-2021-11-17-583 $textbf{scqubits}$ is an open-source Python package for simulating and analyzing superconducting circuits. It provides convenient routines to obtain energy spectra of common superconducting qubits, such as the transmon, fluxonium, flux, […]
It’s crunch time on climate change, and companies, governments, philanthropists, and NGOs around the world are starting to take action, be it through donating huge sums of money to the cause, building a database for […]
Quantum 5, 582 (2021). https://doi.org/10.22331/q-2021-11-17-582 A large body of recent work has begun to explore the potential of parametrized quantum circuits (PQCs) as machine learning models, within the framework of hybrid quantum-classical optimization. In particular, […]
Quantum 5, 581 (2021). https://doi.org/10.22331/q-2021-11-16-581 We show that the Randomized Benchmarking (RB) protocol is a convolution amenable to Fourier space analysis. By adopting the mathematical framework of Fourier transforms of matrix-valued functions on groups established […]
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