u/Earachelefteye

“AMD also added a new position in Xanadu Quantum Technologies, valued at about $1.5 million.”

just read pasqal joins xndu in the finals,
“
Finalist teams were chosen through a thorough evaluation of their submissions, which demonstrated plausible pathways to quantum advantage, clear technical novelty, and strong algorithmic rigor. Judges assessed whether teams addressed problem domains where quantum methods could make a difference if resources scale as projected, supported by early resource estimates and classical comparisons. Submissions were also evaluated for evidence beyond conceptual sketches, including quantifying assumptions, acknowledging limitations, and benchmarking against classical methods rather than relying solely on theoretical asymptotic scaling arguments.”

“Ab initio wavefunction methods provide accurate molecular simulations but their computational scaling restricts applications to small systems. We develop a workflow combining quantum embedding to decompose a molecule into fragments with a heterogeneous quantum-classical (HQC) method to simulate fragments. We sample fragment electronic configurations on two 156-qubit quantum processors (ibm
_
cleveland, ibm
_
kobe), using up to 94 qubits, running 9,200 circuits for over 100 hours, collecting
1.3⋅
10
9
measurement outcomes - the most resource-intensive HQC computation for quantum chemistry to date. We compute fragment wavefunctions via optimized subspace diagonalization on two supercomputers (Fugaku, Miyabi-G), achieving 72.5
%
parallel efficiency with scalable distributed linear algebra kernels. We simulate two protein-ligand complexes spanning dispersion- and electrostatics-dominated regimes (11,608 and 12,635 atoms), demonstrate
>40×
increase in system size and up to
210×
improvement in accuracy over the previous state-of-the-art, with HQC matching coupled-cluster (CCSD) accuracy in fragment energies, and establish a scalable pathway for systematically improvable biomolecular simulations.”

“Quantum computing is particularly well suited to two kinds of problems at the heart of the energy and climate challenge.
The first is simulation. Climate systems are complex networks of feedback loops and dependencies. A quantum algorithm can model a system using the same physical laws it follows, promising greater accuracy than classical computers can achieve.
The second is material discovery. Many energy technologies hinge on designing materials with specific properties. Right now, finding these materials still relies too much on trial and error, supported by calculations that do not fully capture molecular behavior. Quantum computing can simulate those interactions more faithfully, cutting down uncertainty and speeding the path from lab to market.”

“Revenue Exceeds Midpoint of Guidance Range by 30%
Reported Record GAAP Revenues of $64.7 Million, Representing 755% Year-On-Year Growth, Fueled by Quantum Computing Growth and Expansion of the Quantum Platform
Raises Full Year Guidance to be between $260 and $270 Million as Remaining Performance Obligations grow 554% year-on-year to $470 Million
Continued to Drive Commercial Momentum with Approximately 60% of Revenue from Commercial Customers, 35% of Revenue from International Customers, and 35% of Revenue from Multi-Product Customers
Sold IonQ’s First 6th-Generation, Chip-Based, 256-Qubit System, Anchored by a Secure Quantum Network and Broad IP-Generation Partnership Spanning Computing, Networking, Sensing, and Security. Demand for Fifth-Generation Tempo Remains Strong
Selected for DARPA’s HARQ Program, Reflecting IonQ’s Leadership in Modular Quantum Computing and Scalable Networking Architectures Using Quantum Interconnects
Published World’s First Definitive and Detailed Architectural Blueprint For Fault-Tolerant Quantum Computing, Setting a New Standard for Technical Specificity and Transparency
“

“Users of Frontier and the broader Oak Ridge Leadership Facility (OLCF) community can now utilize PennyLane to write and execute quantum programs directly on the Frontier supercomputer using PennyLane's high-performance Lightning simulator. This collaboration pushes the limits of quantum computing simulation by merging Frontier's exascale capabilities, powered by AMD's CPUs and GPUs, with PennyLane's accessible programming interface.

In order to prototype, test, and validate larger quantum programs and algorithms, researchers often need supercomputing resources to simulate a large number of qubits. With the ability to run PennyLane on Frontier, researchers can now explore complex problems and identify performance bottlenecks that are not present within smaller simulations.

“