Researchers have developed a novel first-quantization method for quantum computing that achieves significant improvements in efficiency for molecular energy calculations across arbitrary basis sets, demonstrating both asymptotic speedup in molecular orbital calculations and orders-of-magnitude resource reductions when using dual plane waves compared to second-quantization approaches.
A newly developed framework enhances the predictive power of analog quantum simulations by systematically quantifying and minimizing uncertainties in theoretical approximations used to represent complex quantum many-body systems in Rydberg-atom quantum computers.
The researchers propose a digital-analog quantum computing approach using superconducting circuits to efficiently simulate the Hubbard-Holstein model of fermion-boson interactions with high fidelity, outperforming purely digital methods and offering applications in materials science, chemistry, and high-energy physics.
Researchers at Google and PSI have developed a revolutionary quantum simulator that combines digital precision with analog modeling capabilities, enabling unprecedented studies of complex physical phenomena through a versatile 69-qubit system that can both precisely control initial conditions and naturally simulate physical interactions, opening new possibilities in fields ranging from materials science to astrophysics.
Simulating quantum many-body systems is crucial for advancing physics but poses substantial challenges for classical computers. Quantum simulations overcome these limitations, with analog simulators offering unique advantages over digital methods, such as lower systematic errors […]
Researchers have studied an open quantum system simulation on quantum hardware, which demonstrates robustness to hardware errors even with deep circuits containing up to two thousand entangling gates.
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.
Researchers have developed a method to make previously hardly accessible properties in quantum systems measurable. The new method for determining the quantum state in quantum simulators reduces the number of necessary measurements and makes work with quantum simulators much more efficient.
Here is a interesting post on Medium from Brian Lenahan about Quantum Simulation.
D-Wave Systems has published a milestone study in collaboration with scientists at Google, demonstrating a computational performance advantage, increasing with both simulation size and problem hardness, to over 3 million times that of corresponding classical methods.
Emergence and control of complex behaviors in driven systems of interacting qubits with dissipation.
The Irish Centre for High-End Computing (ICHEC) announced that it has received the GPU-accelerated Quantum Learning Machine Enhanced (Atos QLM E) from Atos.
Atos announces the development of a new Quantum Annealing Simulator via its existing Atos Quantum Learning Machine offering (Atos QLM).
The code for the QCSimulator package is also available at Github QCSimulator. QCSimulator is also on CRAN. Thanks to Tinniam. The first you have to do is to install the QCSimulator R Package. As it’s on […]
Intallation of R on Raspberry Pi Raspbian.