A team of researchers including Google Quantum AI has developed a theory suggesting that quantum computers should be exponentially faster on some learning tasks than classical machines. The scientists tested their work on Google’s Sycamore […]
To overcome the limitations of current quantum computers, researchers at Pacific Northwest National Laboratory (PNNL) are developing simulations that provide a glimpse into how quantum computers work.
A team of researchers have presented the Scaled QUantum IDentifier (SQUID), an open-source framework for exploring hybrid Quantum-Classical algorithms for classification problems. The classical infrastructure is based on PyTorch and they provide a standardized design […]
Research in Quantum Machine Learning (QML) has focused primarily on variational quantum algorithms (VQAs), and several proposals to enhance supervised, unsupervised and reinforcement learning (RL) algorithms with VQAs have been put forward. Out of the […]
Variational Quantum Algorithms (VQAs) are expected to be a path to quantum advantages on noisy intermediate-scale quantum devices. However, both empirical and theoretical results exhibit that the deployed ansatz heavily affects the performance of VQAs […]
Researchers have proposed a quantum implementation of the Stochastic Series Expansion (SSE) Monte Carlo method and shown it offers significant advantages over classical implementations of SSE. In particular, for problems where classical SSE encounters the […]
Lawrence Berkeley National Laboratory physicists have leveraged an IBM Q quantum computer through the Oak Ridge Leadership Computing Facility to capture part of a calculation of two protons colliding. The calculation can show the probability […]
NVIDIA cuQuantum debuts with an expanding ecosystem and a collaboration building the programming model for tomorrow’s most powerful systems. As quantum computers improve, researchers share a vision of a hybrid computing model where quantum and […]
Researchers at MIT are working to mitigate the noise problem in quantum computing by developing a technique that makes the quantum circuit itself resilient to noise. (Specifically, these are “parameterized” quantum circuits that contain adjustable […]
Researchers have developed an algorithm that uses the most quantum bits to date to calculate ground state energy, the lowest-energy state in a quantum mechanical system. The discovery could make it easier to design new […]
A Quantum Ensemble — a set of quantum states with their corresponding probabilities — is essential to the encoding of classical information for transmission over quantum channels. But receivers must be able to ‘guess’ the […]
A sudoku-style mathematical puzzle that is known to have no classical solution has been found to be soluble if the objects being arrayed in a square grid show quantum behavior. The problem, posed by Swiss […]
The field of machine learning on quantum computers got a boost from new research removing a potential roadblock to the practical implementation of quantum neural networks. While theorists had previously believed an exponentially large training […]
In the race to achieve the coveted “advantage” of a quantum computer, those developing quantum algorithms are pitted against each other and against those working on classical algorithms. With each potential claim of such an […]
Rigetti and Zapata Computing announced a new phase in their long-standing partnership: the companies are developing an industry-first compilation toolchain explicitly designed for hybrid quantum-classical algorithms. As part of the work, Zapata will integrate Orquestra, […]
Nonlocal games are extensions of Bell inequalities, aimed at demonstrating quantum advantage. These games are well suited for noisy quantum computers because they only require the preparation of a shallow circuit, followed by the measurement […]
Understanding the structural properties of molecules found in nature or synthesized in the laboratory has always been the bread and butter of materials scientists. These researchers rely upon sophisticated simulation techniques that incorporate the rules […]
In recent years simulations of chemistry and condensed materials has emerged as one of the preeminent applications of quantum computing, offering an exponential speedup for the solution of the electronic structure for certain strongly correlated […]
The researchers showed that EASE gates make it drastically easier to implement circuit elements for universal quantum computation: An n-qubit Clifford circuit can be applied in only 6log(n) EASE gates, an n-qubit multiply-controlled NOT gate in 3n/2 EASE gates, and an n-qubit permutation in only six EASE gates.
A team at Wells Fargo and University of California has just released a paper on solving a central and difficult problem in Financial Engineering: Computing Weighted Sums. Those familiar with expected values, value at risk, or […]
Scientists from MIT‘s Computer Science and Artificial Intelligence (CSAIL) created their own programming language for Quantum Computing called Twist. Twist can describe and verify which pieces of data are entangled in a quantum program, through […]
Goldman Sachs and QC Ware researchers have designed new, robust quantum algorithms that outperform state-of-the-art classical algorithms for Monte Carlo simulations and can be used on near-term quantum hardware expected to be available in 5 to 10 […]
CaixaBank is progressing in its preparation strategy for the arrival of quantum computing. After successfully performing the first real tests of quantum computing to study the applications of this technology in financial services, the institution […]
Recent advances in Quantum Computing have drawn considerable attention to building realistic application for and using quantum computers. However, designing a suitable quantum circuit architecture requires expert knowledge. For example, it is non-trivial to design […]
Distributed training across several quantum computers could significantly improve the training time and if we could share the learned model, not the data, it could potentially improve the data privacy as the training would happen […]