German Federal Ministry of the Economy has funded the €19m PlanQK project (Platform and Ecosystem for Quantum-Assisted Artificial Intelligence) in Quantum AI. The project has now 15 partners and 33 associated partners, including Siemens, Deutsche Telekom […]
Connecting ansatz expressibility to gradient magnitudes and barren plateaus
Researchers at Los Alamos National Laboratory proved a fundamental theorem for Quantum Neural Networks (QNNs), or more generally, for any parameterized quantum circuit (often called an “ansatz”). Parameterized quantum circuits serve as ansätze for solving […]
Pricing financial derivatives with exponential quantum speedup
Pricing financial derivatives, in particular European-style options at different time-maturities and strikes, is a relevant financial problem. The dynamics describing the price of vanilla options when constant volatilities and interest rates are assumed, is governed […]
Quantum computed moments correction to variational estimates
The variational principle of quantum mechanics is the backbone of hybrid quantum computing for a range of applications. However, as the problem size grows, quantum logic errors and the effect of barren plateaus overwhelm the […]
Robust quantum computational advantage scheme using fermion sampling
Fermionic Linear Optics (FLO) is a restricted model of quantum computation which in its original form is known to be efficiently classically simulable. A team of researchers showed that, when initialized with suitable input states, […]
Variational Quantum Algorithms Review
A team of researchers at Los Alamos National Laboratory and Google has reviewed the state of the art of Variational Quantum Algorithms (VQAs). Applications such as simulating large quantum systems or solving large-scale linear algebra […]
Artificial intelligence solves Schrödinger’s equation
A team of scientists at Freie Universität Berlin has developed an artificial intelligence (AI) method for calculating the ground state of the Schrödinger equation in quantum chemistry. Up to now, it has been impossible to […]
ColdQuanta and ParityQC work on QAOA optimization problems
Solving industry-relevant problems using a quantum algorithm faster than any classical computer is considered the grand challenge of quantum computing. ColdQuanta, a developer of cold atom quantum technology, has joined forces with ParityQC, an Austrian […]
Tiny quantum computer solves real optimization problem
Researchers at Chalmers University of Technology, Sweden, have shown that they can solve a small part of a real aviation logistics problem with their small, but well-functioning quantum computer. All airlines are faced with scheduling […]
6-qubit Optimal Clifford Circuits
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 […]