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20 papers · 2 filters
Characterising memory in quantum channel discrimination via constrained separability problems
Ties-A. Ohst, Shijun Zhang, Hai Chau Nguyen +2
Quantum memories are a crucial precondition in many protocols for processing quantum information. A fundamental problem that illustrates this statement is given by the task of chan…
When Quantum and Classical Models Disagree: Learning Beyond Minimum Norm Least Square
Slimane Thabet, Léo Monbroussou, Eliott Z. Mamon +1
Quantum Machine Learning algorithms based on Variational Quantum Circuits (VQCs) are important candidates for useful application of quantum computing. It is known that a VQC is a l…
Agnostic Process Tomography
Chirag Wadhwa, Laura Lewis, Elham Kashefi +1
Characterizing a quantum system by learning its state or evolution is a fundamental problem in quantum physics and learning theory with a myriad of applications. Recently, as a new…
On the role of coherence for quantum computational advantage
Hugo Thomas, Pierre-Emmanuel Emeriau, Rawad Mezher +3
Quantifying the resources available to a quantum computer appears to be necessary to separate quantum from classical computation. Among them, entanglement, nonstabilizerness and co…
Subspace Preserving Quantum Convolutional Neural Network Architectures
Léo Monbroussou, Jonas Landman, Letao Wang +2
Subspace preserving quantum circuits are a class of quantum algorithms that, relying on some symmetries in the computation, can offer theoretical guarantees for their training. Tho…
Simulating the quantum switch with quantum circuits is computationally hard
Jessica Bavaresco, Hlér Kristjánsson, Mio Murao +4
Higher-order transformations acting on input quantum channels in an indefinite causal order, such as the quantum switch, cannot be described by quantum circuits using the same numb…