About D-Wave 2X Quantum ComputerD-Wave Systems is the only company based in British Columbia, Canada, known to sell quantum computers worldwide. It recently announced the availability of the new generation of quantum computers, named D-Wave 2X. D-wave 2X will help customers to solve very complex as well as larger problems with its 1000+qubits capacity including other advancements in technology.
Besides having beyond 1000 qubits capacity, it also incorporates other scientific technologies. Advancements include it operates at 15millikelvin temperature, very close to absolute zero. Having 128,000 Josephson tunnel junctions, it consists of most complex superconductor integrated circuits as new processors ever used successfully. Its 50% noise reduction has led to its quicker performance.
Performance of D-Wave 2xA number of benchmark tests have been done in order to compare it with ordinary PCs to solve optimization problems.
One of the benchmarks is computation time. Computation time needed to solve complex optimization problems with bigger problem size is same for both classical as well as quantum processors. Therefore it becomes prohibitive for the 1000+qubit D-Wave 2x processor to find the optimal solution. Even if optimal solutions are obtained, many large scale solvers tried to find solutions which were close to optimal and they were given a specified time to submit the best solution obtained.
In order to solve hardware problems, D-Wave Systems established Time to Target (TTT) metric. Summary of TTT are given below:
- Near optimal solutions were found to be 600times faster than usual comparable times by highly skilled solvers. Quantum anneal time is used for this comparision.
- Using total time measurements D-wave 2x found near-optimal solutions 15x faster than the solvers.
- The hardware problems are of best performance than software solvers, which is of high advantage by using D-Wave 2x.
- The difference between optimal and near-optimal solutions is very less around 1% less. But D-Wave 2x works 100x faster to find near-optimal solutions rather than optimal ones.
- Financial Analysis
- Machine Learning
- Pattern Recognition
- Software/Hardware Verification