Reversibility and Adiabatic Computation: Trading Time and Space for Energy
Abstract
Future miniaturization and mobilization of computing devices requires energy parsimonious `adiabatic' computation. This is contingent on logical reversibility of computation. An example is the idea of quantum computations which are reversible except for the irreversible observation steps. We propose to study quantitatively the exchange of computational resources like time and space for irreversibility in computations. Reversible simulations of irreversible computations are memory intensive. Such (polynomial time) simulations are analysed here in terms of `reversible' pebble games. We show that Bennett's pebbling strategy uses least additional space for the greatest number of simulated steps. We derive a trade-off for storage space versus irreversible erasure. Next we consider reversible computation itself. An alternative proof is provided for the precise expression of the ultimate irreversibility cost of an otherwise reversible computation without restrictions on time and space use. A time-irreversibility trade-off hierarchy in the exponential time region is exhibited. Finally, extreme time-irreversibility trade-offs for reversible computations in the thoroughly unrealistic range of computable versus non-computable time-bounds are given.
- Publication:
-
Proceedings of the Royal Society of London Series A
- Pub Date:
- April 1996
- DOI:
- 10.1098/rspa.1996.0039
- arXiv:
- arXiv:quant-ph/9703022
- Bibcode:
- 1996RSPSA.452..769L
- Keywords:
-
- Quantum Physics;
- Computer Science - Computational Complexity;
- Computer Science - Computational Engineering;
- Finance;
- and Science;
- Computer Science - Data Structures and Algorithms
- E-Print:
- 30 pages, Latex. Lemma 2.3 should be replaced by the slightly better ``There is a winning strategy with $n+2$ pebbles and $m-1$ erasures for pebble games $G$ with $T_G= m2^n$, for all $m \geq 1$'' with appropriate further changes (as pointed out by Wim van Dam). This and further work on reversible simulations as in Section 2 appears in quant-ph/9703009