Measurement-based
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Measurement-based
LDPC and Cluster States
Quantum LDPC codes use sparse stabilizers to keep check weight and qubit degree constant, reducing overheads. Combining them with cluster states (via foliation or related constructions) yields a measurement‑based route to fault tolerance that can capitalize on photonics’ ability to…
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Measurement-based
Photonic Continuous-Variable
Photonic Continuous-Variable Quantum Computing (CVQC) encodes quantum information in continuous variables (field quadratures) rather than two‑level qubits, leveraging mature quantum‑optics tooling (squeezers, beam splitters, homodyne). The approach promises deterministic, ultra‑large entangled resources via Gaussian operations plus a non‑Gaussian spark for…
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Measurement-based
Ion‑Trap / Neutral‑Atom MBQC
Ion‑trap / neutral‑atom MBQC implements universal quantum computing by preparing an entangled resource (cluster state) on matter qubits and then computing solely via adaptive measurements. It offers an alternative execution model to gate‑by‑gate control and is a natural fit wherever…
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Measurement-based
Photonic Cluster‑State
Photonic cluster‑state computing is a measurement‑driven approach: prepare a highly entangled photonic resource (the cluster), then compute solely by single‑photon measurements with feed‑forward. It’s a focused subset of photonic QC, contrasted with gate‑based LOQC and other photonic schemes.
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