Some of the most exciting topics in modern physics, such as high-temperature superconductors and some proposals for quantum computers, come down to the exotic things that happen when these systems hover between two quantum states.
At the scale of individual atoms, physics gets weird. Researchers are working to reveal, harness, and control these strange quantum effects using quantum analog simulators — laboratory experiments that involve super-cooling tens to hundreds of atoms and probing them with finely tuned lasers and magnets.
The noisy intermediate-scale quantum devices enable the implementation of the Variational Quantum Circuit (VQC) for Quantum Neural Networks (QNN). Although the VQC-based QNN has succeeded in many machine learning tasks, the representation and generalization powers […]
Quantum computers promise significantly shorter computing times for complex problems. But there are still only a few quantum computers worldwide with a limited number of so-called qubits. However, quantum computer algorithms can already run on conventional servers that simulate a quantum computer. A team has succeeded in calculating the electron orbitals and their dynamic development using an example of a small molecule after a laser pulse excitation.
Zurich Instruments introduces LabOne Q, an intuitive software framework for scalable quantum computing
A new study describes how machine learning tools, run on classical computers, can be used to make predictions about quantum systems and thus help researchers solve some of the trickiest physics and chemistry problems.
Scientists have presented an approach, ClusterVQE algorithm, to reduce quantum circuit complexity in VQE.
Clifford group lies at the core of quantum computation—it underlies quantum error correction, its elements can be used to perform magic state distillation and they form randomized benchmarking protocols, Clifford group is used to study […]
Deep-diving guide explains the basics, surveys major quantum algorithms and steps through implementing them on available quantum computers.
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.
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 […]