quantum annealing
Cars are one of the biggest polluters of greenhouse gases and to reduce their impact on the environment, there needs to be a nation-wide shift towards the use of public transportation - specifically the use of buses. Designing new bus routes can help buses arrive more frequently on time, especially during rush hour, which is an incentive for people to use buses. The Urban Transit Routing Problem (UTRP) is an NP-hard optimization problem, solved with heuristic algorithms that output approximate solutions, that focuses on constructing bus routes from an existing road network.
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Dataset for Analysis of a Programmable Quantum Annealer as a Random Number Generator
Paper: https://arxiv.org/abs/2307.02573
The raw measurements from the D-Wave quantum annealer are -1/+1 spins. They were converted to binary bitstrings by mapping all -1 spins to 0 states.
The datafiles are .bin files where each bit is time ordered (and fixed hardware-indexed ordered). The number of qubits on the device is 2032, so each group of 2032 bits is one anneal-readout cycle.
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Dataset for the paper titled "Comparing Three Generations of D-Wave Quantum Annealers for Minor Embedded Combinatorial Optimization Problems". This data includes the minor embeddings and raw D-Wave measurements.
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