Quantum 7, 997 (2023). https://doi.org/10.22331/q-2023-05-04-997 Most near-term quantum information processing devices will not be capable of implementing quantum error correction and the associated logical quantum gate set. Instead, quantum circuits will be implemented directly using […]
Quantum 7, 996 (2023). https://doi.org/10.22331/q-2023-05-04-996 We introduce Inflation, a Python library for assessing whether an observed probability distribution is compatible with a causal explanation. This is a central problem in both theoretical and applied sciences, […]
Quantum 7, 995 (2023). https://doi.org/10.22331/q-2023-05-04-995 Simulating large quantum systems is the ultimate goal of quantum computing. Variational quantum simulation (VQS) gives us a tool to achieve the goal in near-term devices by distributing the computation […]
Quantum 7, 994 (2023). https://doi.org/10.22331/q-2023-05-04-994 Rapidly improving gate fidelities for coherent operations mean that errors in state preparation and measurement (SPAM) may become a dominant source of error for fault-tolerant operation of quantum computers. This […]
Quantum 7, 993 (2023). https://doi.org/10.22331/q-2023-05-04-993 We consider the problem of the variational quantum circuit synthesis into a gate set consisting of the CNOT gate and arbitrary single-qubit (1q) gates with the primary target being the […]
Quantum 7, 992 (2023). https://doi.org/10.22331/q-2023-04-27-992 Since linear-optical two-photon gates are inherently probabilistic, measurement-based implementations are particularly well suited for photonic platforms: a large highly-entangled photonic resource state, called a graph state, is consumed through measurements […]
Quantum 7, 991 (2023). https://doi.org/10.22331/q-2023-04-27-991 In classical physics, memoryless dynamics and Markovian statistics are one and the same. This is not true for quantum dynamics, first and foremost because quantum measurements are invasive. Going beyond […]
Quantum 7, 990 (2023). https://doi.org/10.22331/q-2023-04-27-990 In the context of irreversible dynamics, associating to a physical process its intuitive reverse can result to be a quite ambiguous task. It is a standard choice to define the […]
Quantum 7, 989 (2023). https://doi.org/10.22331/q-2023-04-27-989 In the training of over-parameterized model functions via gradient descent, sometimes the parameters do not change significantly and remain close to their initial values. This phenomenon is called $textit{lazy training}$ […]
Quantum 7, 988 (2023). https://doi.org/10.22331/q-2023-04-27-988 Linear regression is a widely used technique to fit linear models and finds widespread applications across different areas such as machine learning and statistics. In most real-world scenarios, however, linear […]
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