reversible-computing

Reversible computing executes programs in reverse by maintaining bijective state updates where each state has a unique predecessor. Store intermediate values during forward execution, then reverse the operations to perfectly undo calculations and recover original inputs.

Reversible computing ensures no information is lost during computation, enabling perfect backward execution. It's essential for quantum hardware requiring unitary operations and energy-efficient classical systems, since irreversible operations generate heat through information erasure.

Yes. Reversible computing spans imperative, functional, and circuit-based paradigms while enforcing bijective state updates, reversible control flow, and uncomputation of temporaries across all three—making it adaptable to your existing codebase style.

Uncomputation, also called Bennett's trick, stores intermediate garbage during forward execution, then systematically reverses those operations to eliminate temporaries. This recovers memory and maintains the bijective property required for backward execution.

Reversible computing requires explicit tracking of all state and no destructive updates, increasing memory overhead. It's most suitable for quantum-ready applications, energy-critical systems, or workflows where perfect undo capability justifies the structural constraints.