Quantum Computing & Algorithms

This Quantum Computing & Algorithms session addresses architectures, algorithms, and error-mitigation strategies for quantum information processing. Research includes superconducting, trapped-ion, neutral-atom, and photonic-qubit platforms; entanglement-driven computation; variational circuits; Hamiltonian simulation; and quantum optimization schemes. Topics such as quantum error-correcting codes, surface codes, stabilizer formalism, decoherence modeling, gate-fidelity benchmarking, and noise-adaptive compilation are central. Contributions involving quantum advantage demonstrations, resource-scaling analysis, pulse-level control, cryogenic electronics, and cross-platform interoperability are welcomed. Hybrid quantum-classical workflows, tensor-network-enhanced simulations, and domain-specific applications in chemistry, materials, finance, and many-body physics form significant components. Emphasis is placed on algorithmic complexity, circuit depth reduction, and feasibility assessments for fault-tolerant systems.