Software & Algorithms
PsiQuantum Breakthrough Paves Way to Dramatic Acceleration in EV Battery Design
PsiQuantum’s team investigated quantum algorithms for simulating effects of the common electrolyte additive, fluoroethylene carbonate.
QC Ware Funded to Create a Quantum Computing Software Ecosystem in Europe
Quantum software and services leader will use funding to develop new quantum software APIs for Deep Learning and finance and fuel expansion of European operations in Paris.
U.S. Department of Energy Research Demonstrates the Power of Detailed Error Characterization
Three research groups demonstrated more than 99 percent fidelity for “if-then” logic gates between two silicon qubits.
University of Innsbruck Scientists Develop Missing Building Block for Quantum Optimization
Physicists from Innsbruck, Austria, have now developed a method that enables optimization problems to be investigated on quantum hardware that already exists today.
Just Because a QPU Gives You a Result Once, Does Not Mean It Will Do So Reliably
In February of 2022, Agnostiq released a study providing the present state-of-the-art for solving combinatorial optimization problems on real, noisy gate-model quantum computers. Although the study was primarily focused on the optimization of discrete financial portfolios, the work is much more general with consequences for other industrially important problems including vehicle routing, task scheduling and facility location services.
Using Quantum Bits to Crunch Chemistry Equations Now More Error-Free Than Ever
In principle, quantum computers should be able to handle exponentially larger and more complex calculations, like those needed to solve the Schrodinger equation, because the qubits that make them up take advantage of quantum states…
Mysterious Quantum Links Could Help Lead To Exponential Scale-up
Machine learning, which now powers speech recognition, computer vision, and more, could prove even more powerful when run on quantum computers. Now scientists find the strange quantum phenomenon known as entanglement, which Einstein dubbed “spooky action at a distance,” might help remove a major potential roadblock to implementing quantum machine learning, a new study finds.
Q-CTRL Achieves 1000x in Quantum Algorithmic Success, 9000x Achievable
With these exceptional improvements, Q-CTRL is closing the performance gap between the promise of the growing quantum computers emerging on the market and the actual computational capabilities they deliver to end users…
Crucial Leap in Error Mitigation for Quantum Computers
Researchers at Lawrence Berkeley National Laboratory’s Advanced Quantum Testbed (AQT) demonstrated that an experimental method known as randomized compiling (RC) can dramatically reduce error rates in quantum algorithms and lead to more accurate and stable quantum computations. No longer just a theoretical concept for quantum computing, the multidisciplinary team’s breakthrough experimental results are published in Physical Review X.