Instantaneous Quantum Computation
arXiv:0809.0847 · doi:10.1098/rspa.2008.0443
Abstract
We examine theoretic architectures and an abstract model for a restricted class of quantum computation, called here instantaneous quantum computation because it allows for essentially no temporal structure within the quantum dynamics. Using the theory of binary matroids, we argue that the paradigm is rich enough to enable sampling from probability distributions that cannot, classically, be sampled from efficiently and accurately. This paradigm also admits simple interactive proof games that may convince a skeptic of the existence of truly quantum effects. Furthermore, these effects can be created using significantly fewer qubits than are required for running Shor's Algorithm.
Significantly rewritten for clarity, more explanation added
References in corpus (8)
- Entropy scaling and simulability by Matrix Product States
- Experimental demonstration of Shor's algorithm with quantum entanglement
- Demonstration of Shor's quantum factoring algorithm using photonic qubits
- Matchgates and classical simulation of quantum circuits
- Experimental Realization of Deutsch's Algorithm in a One-way Quantum Computer
- On entropy growth and the hardness of simulating time evolution
- One-way Quantum Computation - a tutorial introduction
- Hardness of approximating the weight enumerator of a binary linear code
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