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Fix performance issue in parsing bit indices in QPY #11944
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This commit fixes a performance issue in the deserialization of QPY payloads. Previously when parsing every instruction the deserialization would build up a dictionary of indices to bits so that when we load the bit index in the qargs and cargs for each instruction. This mean the worst case scaling of this section was O(n * m) for n instructions and m bits, which for very large circuits could end up dominating the time spent in deserialization. However, this was unecessary work because it is rebuilding a mapping from index to bit as a dictionary, but that mapping already existed in the bit lists the circuit is carrying around. This commit fixes the performance issue by removing the dictionary generation and just using the bit lists directly.
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jakelishman
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Mar 4, 2024
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Possibly there's an argument for reducing the number of calls to the QuantumCircuit.qubits
property getter (since that goes via CircuitData::qubits
), but that's probably very small potatoes at best.
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* Fix performance issue in parsing bit indices in QPY This commit fixes a performance issue in the deserialization of QPY payloads. Previously when parsing every instruction the deserialization would build up a dictionary of indices to bits so that when we load the bit index in the qargs and cargs for each instruction. This mean the worst case scaling of this section was O(n * m) for n instructions and m bits, which for very large circuits could end up dominating the time spent in deserialization. However, this was unecessary work because it is rebuilding a mapping from index to bit as a dictionary, but that mapping already existed in the bit lists the circuit is carrying around. This commit fixes the performance issue by removing the dictionary generation and just using the bit lists directly. * Add release note * Simplify logic (cherry picked from commit f4b50fb)
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* Fix performance issue in parsing bit indices in QPY This commit fixes a performance issue in the deserialization of QPY payloads. Previously when parsing every instruction the deserialization would build up a dictionary of indices to bits so that when we load the bit index in the qargs and cargs for each instruction. This mean the worst case scaling of this section was O(n * m) for n instructions and m bits, which for very large circuits could end up dominating the time spent in deserialization. However, this was unecessary work because it is rebuilding a mapping from index to bit as a dictionary, but that mapping already existed in the bit lists the circuit is carrying around. This commit fixes the performance issue by removing the dictionary generation and just using the bit lists directly. * Add release note * Simplify logic (cherry picked from commit f4b50fb) Co-authored-by: Matthew Treinish <mtreinish@kortar.org>
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* Fix performance issue in parsing bit indices in QPY This commit fixes a performance issue in the deserialization of QPY payloads. Previously when parsing every instruction the deserialization would build up a dictionary of indices to bits so that when we load the bit index in the qargs and cargs for each instruction. This mean the worst case scaling of this section was O(n * m) for n instructions and m bits, which for very large circuits could end up dominating the time spent in deserialization. However, this was unecessary work because it is rebuilding a mapping from index to bit as a dictionary, but that mapping already existed in the bit lists the circuit is carrying around. This commit fixes the performance issue by removing the dictionary generation and just using the bit lists directly. * Add release note * Simplify logic
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* Fix performance issue in parsing bit indices in QPY This commit fixes a performance issue in the deserialization of QPY payloads. Previously when parsing every instruction the deserialization would build up a dictionary of indices to bits so that when we load the bit index in the qargs and cargs for each instruction. This mean the worst case scaling of this section was O(n * m) for n instructions and m bits, which for very large circuits could end up dominating the time spent in deserialization. However, this was unecessary work because it is rebuilding a mapping from index to bit as a dictionary, but that mapping already existed in the bit lists the circuit is carrying around. This commit fixes the performance issue by removing the dictionary generation and just using the bit lists directly. * Add release note * Simplify logic
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Changelog: Bugfix
Include in the "Fixed" section of the changelog
mod: qpy
Related to QPY serialization
performance
stable backport potential
The bug might be minimal and/or import enough to be port to stable
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Summary
This commit fixes a performance issue in the deserialization of QPY payloads. Previously when parsing every instruction the deserialization would build up a dictionary of indices to bits so that when we load the bit index in the qargs and cargs for each instruction. This mean the worst case scaling of this section was O(n * m) for n instructions and m bits, which for very large circuits could end up dominating the time spent in deserialization. However, this was unnecessary work because it is rebuilding a mapping from index to bit as a dictionary, but that mapping already existed in the bit lists the circuit is carrying around. This commit fixes the performance issue by removing the dictionary generation and just using the bit lists directly.
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