Quantum Neural Networks (QNNs): How They Are Built
How quantum neural networks are built from parameterized quantum circuits, how they are trained and where they might be useful.
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Tagged: Qubits
476 articles
Simulating Topological Insulators With Cold Atoms
Topological insulators and how cold atoms and other quantum simulators reproduce their band structures, edge states and spin Hall effect.
Coherence and Decoherence: The Two Sides
Coherence and decoherence as two sides of one process: how coherence is lost, how it is modeled and simulated, and how it can be protected.
Simulating Quantum Field Theory on a Quantum Computer
How quantum field theories could be simulated on quantum computers: lattice discretization, Trotterization and what such simulations could reveal.
Machine Learning to Speed Up Quantum Simulation
How machine learning helps quantum simulation, from finding good circuit parameters to modeling quantum states, and the open challenges.
Phase Estimation for Simulating Molecules
How quantum phase estimation is used to compute molecular energies, how it compares with VQE and the resources it requires.
Adiabatic Evolution: The Slow Path to a Solution
Adiabatic evolution keeps a system in its ground state if a Hamiltonian changes slowly enough. The theorem, the steps and uses in optimization.
Quantum Spin Models: Ising, Heisenberg and XY
The Ising, Heisenberg and XY spin models: what they describe, how lattice geometry matters and how they show phase transitions and spin liquids.
Simulating Quantum Circuits on Classical Computers
How quantum circuits are simulated on classical computers with state vectors, tensor networks and tools such as Qiskit and Cirq, and where limits lie.
Quantum Max-Entropy and Its Operational Meaning
Max-entropy is the partner of min-entropy. Its definition and operational meaning in data compression and quantum information processing.
Quantum Distinguishability Measures, Compared
Distinguishability measures for quantum states compared: trace distance, fidelity, relative entropy and others, with their uses.
The Quantum Capacity Region of a Network
The capacity region of a quantum network describes which combinations of rates are achievable at once. Channels, constraints and protocols.
