Exploiting subspace constraints and ab initio variational methods for quantum chemistry
Variational methods offer a highly promising route to exploiting quantum computers for chemistry tasks. Here we employ methods described in a sister paper to the present report, entitled exploring ab initio machine synthesis of quantum circuits, in order to solve problems using adaptively evolving q...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
IOP Publishing
2023
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| Summary: | Variational methods offer a highly promising route to exploiting quantum computers for chemistry tasks. Here we employ methods described in a sister paper to the present report, entitled exploring ab initio machine synthesis of quantum circuits, in order to solve problems using adaptively evolving quantum circuits. Consistent with prior authors we find that this approach can outperform human-designed circuits such as the coupled-cluster or hardware-efficient ansätze, and we make comparisons for larger instances up to 14 qubits Moreover we introduce a novel approach to constraining the circuit evolution in the physically relevant subspace, finding that this greatly improves performance and compactness of the circuits. We consider both static and dynamics properties of molecular systems. The emulation environment used is QuESTlink all resources are open source and linked from this paper. |
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