Quantum Boltzmann Machines and Their Training
Quantum Boltzmann machines extend Boltzmann machines with quantum terms. How they are trained, possible uses and current challenges.
Quantum Boltzmann machines extend Boltzmann machines with quantum terms. How they are trained, possible uses and current challenges.
Reductions show that solving one problem would solve another. How reductions are used in quantum complexity theory and algorithm design.
Quantum optical computing uses photons as qubits. Principles of quantum optics, optical gates, algorithms, challenges and error correction.
Quantum signal processing builds polynomial transformations from sequences of qubit rotations. How it underlies modern quantum algorithms.
Quantum coherent computing relies on keeping qubits coherent long enough to finish a computation. How coherence limits algorithms and applications.
Spin networks are graphs labeled by spins. They appear in quantum gravity and in quantum information. Properties, uses and experimental work.
Models of quantum computational networks: how processors and links are combined, and uses in cryptography, optimization and cloud computing.
Quantum pushdown automata add a stack to quantum finite automata. Their formal definition, operations and comparison with classical pushdown automata.
Donor-based quantum computing uses single phosphorus or other donor atoms in silicon as qubits. How they are placed, controlled and scaled.
What quantum annealers such as D-Wave’s physically do, how they differ from gate-based computers, and what real use cases show about their limits.
Quantum phase slip junctions are the dual of Josephson junctions in superconducting nanowires. Their physics and possible uses.
Single-electron and quantum transistors switch using tunneling and discrete charge. How they work, their applications and challenges.