IBM continues to lead the quantum cloud, but faces real competition to service early quantum applications. Building the future of this market still looks like a long game. It may be more important to pick a partner with the right strategy than just to compare today’s product features. The post...
In contrast to the hype, the early applications of quantum computers look modest. But they do exist. The talented teams developing quantum algorithms still have a fight on their hands to bring forward the date of true broad quantum advantage. What might be achieved and when? The post Quantum Algorithms...
Big ticket investments have created a growing number of quantum unicorns. Chinese strides with photonic and superconducting qubits have grabbed attention. Trapped ions have shone with demonstrations of logical qubits. But who is winning the race to build a practical quantum computer? The post Quantum Hardware Outlook 2022 appeared first...
The four winning teams of the BMW Quantum Computing Challenge were announced this morning at the annual Q2B conference in Santa Clara, California. The challenge, focused on discovering potential quantum computing solutions for real-world use cases, was a collaboration between the BMW Group and the Amazon Quantum Solutions Lab Professional...
Postdoc at CWI Email: jonas dot helsen at cwi dot nl After his Master, Jonas obtained his PhD (cum laude) at TU Delft in the group of Prof. Stephanie Wehner. Where his primary research focus was the development of benchmarking and validation procedures for prototype quantum computers. Thereafter, Jonas did...
In this blog post, we detail an approach to solving a feature selection problem that implements a recommendation engine using Amazon Braket – the quantum computing service by Amazon Web Services. Our approach tackles the “cold-start” problem that recommendation systems face, produces a solution comparable with traditional approaches, and reaches...
Last week the Memorandum of Understanding was signed between the six partners of the Quantum Application Lab (QAL): University of Amsterdam (UvA), the Netherlands Organization for applied scientific research (TNO), the national research institute for mathematics and computer science (CWI), the Dutch collaborative ICT Organization for Dutch higher education and...
By Ryan LaRose, a researcher with Unitary Fund and Michigan State University; Nathan Shammah, CTO of Unitary Fund; Peter Karalekas, Software Engineer at the AWS Center for Quantum Computing; and Eric Kessler, Sr. Manager of Applied Science for Amazon Braket. In this blog post, we demonstrate how to use Mitiq,...
We are excited to announce that Quantum Data Technologies (QDT) is launching our official Chainlink node, bringing our Bitcoin (BTC) crypto price predictions on-chain. Figure 1: BTC Price Prediction (1-13 […] The post QDT Launches Daily Bitcoin Price Prediction API Via Our Official Chainlink Node appeared first on Quantum Data...
Quantum Benchmark is the leading provider of software solutions that enable error characterization, error mitigation, error correction and performance validation for quantum computing hardware.
Our company is led by a team of the world’s top research scientists and engineers in quantum computing with the mission of enabling quantum computers to solve real-world problems.
We are venture-backed with headquarters in Kitchener-Waterloo, Canada.
The capacity of a quantum computer to perform meaningful computations is not just determined by the number of qubits, but by the quality of those qubits. Harnessing the power of quantum computing requires overcoming errors and other imperfections that are inevitable in all quantum computing hardware architectures.
Our proprietary technology is based on years of research by several of the world’s leading experts in quantum computing. Our solutions are essential for both makers and users of quantum computers.
For users and makers of quantum computers, our software measures, optimizes, and validates the capacity of any quantum hardware platform to perform any user-supplied algorithm to any user-specified precision.
We provide software for scalable run-time error suppression under any user-supplied quantum algorithm, leading to dramatically improved hardware performance.
Our software solutions characterize the type and rate of errors for both gates and scalable circuits over a full quantum processor. This enables hardware makers to better understand the noise present in their systems, make informed decisions that improve error characteristics, and target error-correcting strategies that are optimal for their device.