While organizations continue to struggle to maximize inventory utilization and optimize analysis of huge amounts of data, Microsoft is increasing its focus on “the high promise of quantum technology,” Daniel Stocker, program manager, Azure Quantum Technology, told VentureBeat.
With these data sizes growing and complexity increasing, Azure Quantum built a QIO solution for Azure Storage that is designed to keep the load on storage clusters uniform while reducing the amount of data to be moved.
[Related: Multiverse Computing utilizes quantum tools for finance apps ]
Azure Quantum has backed the Azure Storage team this year with a quantum-inspired optimization solution, according to Microsoft. Stocker said “quantum-inspired” refers to running quantum algorithms on classical systems, while allowing developers to be prepared for further acceleration when “scaled quantum hardware is available in scale. We are not there yet,” he said.
Move data intelligently
The quantum solution has helped the Azure storage team increase capacity, efficiency and predictability, helping customers get high-quality service from Azure Storage. “We optimize every single move we make and we make them intelligently,” Stocker said.
[ Related: Gartner advises tech leaders to prepare for action as quantum computing spreads ]
Stocker said Azure deals are available for both quantum-inspired and quantum-hardware systems on a pay-as-you-go model. Developers can use Python or Microsoft Q #, Microsoft’s open source language, to develop quantum algorithms. Python is the preferred language for developing quantum algorithms, while Q #, Stocker, said “will secure Azure Storage in the long run.”
Microsoft points to three customers who they say have seen significant results from Azure Quantum.
- Trimble uses Azure Quantum to find the most efficient routes for a fleet of vehicles, seeks to ensure fewer trucks run empty and maximizes their operating load for each trip.
- OTI Lumionics accelerates materials design with quantum-inspired optimization solutions designed to simulate organic materials used in OLED displays to design next-generation consumer electronics.
- Ford partnered with Azure Quantum to build a QIO-based traffic optimization solution designed to reduce both traffic congestion and travel time by providing optimized routing to thousands of drivers simultaneously. Preliminary studies show more than a 70 percent drop in congestion, as well as an 8 percent reduction in average travel time, according to the automaker.
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