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Efficiently handle circuit sizes 10x or more of today's circuits #1086
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area/circuitsInvolves functionality related to circuits, circuit operations, etc.Involves functionality related to circuits, circuit operations, etc.area/performanceInvolves performance problems or improvementsInvolves performance problems or improvementshelp wantedHelp with this would be appreciatedHelp with this would be appreciatedpriority/after-0.7.7Leave to after the TFQ version 0.7.7 releaseLeave to after the TFQ version 0.7.7 releaseskill-level/expertOne or more of the areas need deep expertiseOne or more of the areas need deep expertise
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area/circuitsInvolves functionality related to circuits, circuit operations, etc.Involves functionality related to circuits, circuit operations, etc.area/performanceInvolves performance problems or improvementsInvolves performance problems or improvementshelp wantedHelp with this would be appreciatedHelp with this would be appreciatedpriority/after-0.7.7Leave to after the TFQ version 0.7.7 releaseLeave to after the TFQ version 0.7.7 releaseskill-level/expertOne or more of the areas need deep expertiseOne or more of the areas need deep expertise
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The field of quantum computing is progressing from quantum hardware having small numbers of noisy, short-lived physical qubits, to hardware having 100s–1000s of physical qubits combined algorithmically into error-corrected, long-lived logical qubits. For TensorFlow Quantum to support QML in the early fault-tolerant quantum computing era, it should be possible to handle circuit sizes that are at least 10x what it can comfortably handle today.