Answers are grounded in this paper and cite their sources.
Theoretical study demonstrates a formal framework for carrier-based physical computation in superconducting bosonic hardware, indicating criteria for robust dissipative convergence.
We formulate a mathematical framework for validating candidate carrier-based physical computations. Logical continuation is kept distinct from compilation, physical preparation, open-system evolution, restricted observation, and decoding. For every finite boundary/future relation we construct a diagonal positive-semidefinite penalty Hamiltonian whose zero-versus-positive ground-energy class equals existential continuation. To connect this extensional static representation to candidate physical dynamics, we introduce a typed driven-dissipative architecture motivated by superconducting bosonic hardware. The generator is separated into a hardware-stabilization layer and an instance-dependent semantic problem layer. We define the fixed-point, protected-manifold, and no-spurious-state conditions required for exact dissipative compatibility. Protected violation-removal corrections are required to admit uniform synthesis and to preserve the encoded manifold. A Penalty-Lyapunov condition yields exponential decay of the expected excess penalty above the ground energy and, together with explicit fixed-point and convergence hypotheses, identifies the semantic ground sector as the terminal stationary set. For Hamiltonians differing only by a global scalar shift, normalized state data are identical in the absence of an operational energy reference. We therefore formulate a reference-coupled microwave decoding criterion: if calibrated measurement distributions remain uniformly separated under declared reference perturbations, a classical decoder achieves a quantified worst-case error bound. A four-level hierarchy separates static semantic representation, exact dissipative compatibility, efficient convergence, and robust physical readout, so that mathematical representation remains distinct from scalable physical synthesis.
No takes yet. Share an insight, caveat, or question.
Karim Daghbouche (2026) studied this question.