Use Your Quantum Hardware With Improved Efficiency and Speed
Hybrid quantum computers will always be paired with traditional computers. Replace your conventional computing algorithms with implementations using Signaloid’s UxHw technology, and reduce the associated quantum compute resource needed by 48%*.
Augment your quantum deployment with Signaloid UxHw classical computation
More than
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increased convergence reliability
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lower quantum compute hardware usage
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*Accelerated Quantum Phase Estimation running on Signaloid, compared to traditional Reduction Filtering Phase Estimation (RFPE)
UxHw Technology, In Context
Example: Accelerated Quantum Phase Estimation (AQPE)
Performance Metric
Signaloid Improvement*
Elapsed user time for AQPE experiments
10% faster conventional component runtime
Number of successful convergences
32% more reliable
Required number of quantum circut mappings
45% increased efficiency of hardware usage
Required number of shots
45% increased efficiency of hardware usage
Required lines of code for Bayesian inference
78% fewer lines of code
*Speedup when performing AQPE using Bayesian inference with UxHw technology compared with traditional RFPE methods. Performance improvements computed on Signaloid C0Pro-S+ processor, April 2023, and compared with traditional Monte Carlo methods that achieve the same Wasserstein distance to a large-iteration Monte Carlo reference, running on Intel Xeon.
Solutions
Choose between running computations on our cloud-based compute engine or on your current on-premises infrastructure.
