Joining Global Quantum Industry Group for Quantum Collaboration

Welcome memQ to GQIG! Founded in 2021 as a technology spin-out from the University of Chicago, memQ enables the scalable implementation of quantum computing through standards-based connectivity across optical connections between quantum computers anywhere. The company provides secure connectivity and control across local, campus, metro, and wide-area quantum compute resources with high fidelity and low loss, regardless of qubit structure. memQ's xQNA portfolio includes QNICs (quantum network interface controllers that let various types of quantum computers join a quantum network), QMMs (quantum memory modules providing stable quantum memories for centralized entanglement operations), and QCS + xDQC (a quantum control system that orchestrates qubit and entanglement operations across a distributed network with atomic precision, paired with a distributed quantum compiler that allocates workloads based on optimum resource allocation). We're excited to welcome memQ to the GQIG community as we continue building the future of the quantum industry together. Become a member now: gqig.org GQIG is the first C-level and Director-only council built exclusively for the quantum computing industry. Learn more at gqig.org or contact membership@gqig.org. #GQIG #QuantumComputing #memQ #QuantumNetworking #DistributedQuantumComputing #theISIG Amy Leong, Salah Nasri, Kevin Dei, Jubed Miah, Mia Chen, Elsa Medin, Michelle Yan, Sephora Maio, Germantas Kneita, Christine Dunbar, Anastasia Marchenkova, Denise Ruffner

In the news: IonQ and Sandia National Laboratories Partner on Quantum Technology Research: IonQ and Sandia National Laboratories signed an MOU to explore quantum computing for national security and technology development. http://dlvr.it/TTsXqb #QuantumComputing #TechResearch #NationalSecurity #Innovation #IonQ

In the news: ORNL Quantum Computing User Forum Highlights Quantum-HPC Research: ORNL’s seventh Quantum Computing User Forum brought researchers together to discuss quantum applications and hybrid quantum-HPC workflows. http://dlvr.it/TV6KrQ #QuantumComputing #HPC #Research #QuantumTech #Innovation

Most #quantum computing architectures rely only on qubits, but incorporating oscillators could offer advantages for tackling scientific problems. In a recent PRX Quantum paper, #C2QA researchers developed a framework that harnesses both — and connects their capabilities to software. Learn more in the research highlight: https://lnkd.in/e95xttjz

Quantum Computing Market to Reach USD 27.6 Billion by 2035, Driven by Rapid Advancements in Quantum Technology https://lnkd.in/eYTfxxp8 #marketanalysis #marketresearch #marketresearchreports #syndicationservice #pressrelease

Quantum computing's next bottleneck won't be qubits. It'll be the interface. A new study from researchers at TU Munich, Karlsruhe Institute of Technology, Argonne National Lab, and TU Delft mapped 11 distinct types of quantum software users — from business executives who just want a cost-and-ROI number, to algorithm designers who need raw hardware access. Their core finding: there's no single "quantum interface" that works for all of them, which means the industry's next hard problem isn't more qubits — it's deciding what to hide and what to expose, and for whom. Worth remembering the next time a vendor demos a slick quantum console: ask who it was actually built for. If you're evaluating quantum for your organization, which of these 11 personas are you actually being sold to? Source: The Quantum Insider, Aug 21, 2026 — https://lnkd.in/gBqZ-QAK #QuantumComputing #EnterpriseTech #DeepTech #TechTrends

⚛️ Excited to share a recent milestone in my quantum computing journey - effective usage of 4 qubits! 🚀 I just finished implementing a Variational Quantum Eigensolver (VQE) to calculate the ground-state energy of the Lithium Hydride (LiH) molecule using Qiskit, deployed directly to IBM Quantum physical processor. Scaling quantum algorithms for chemistry on NISQ hardware is all about resource optimization. To make the circuit hardware-friendly, I used active-space reduction to freeze the Li 1s core electrons and applied a Parity Mapper with two-qubit reduction, successfully compressing the problem down to just 4 qubits! ⚛️ Key technical details of the project: 🔹 Designed a hardware-efficient circuit starting with a Hartree-Fock state and a UCCSD ansatz. 🔹 Benchmarked convergence across three environments: an exact classical eigensolver, a noiseless statevector simulator, and a noisy QPU simulator (incorporating IBM's Manila noise model). 🔹 Optimized the execution using the SPSA optimizer, employing a warm-start technique from the noiseless data to drastically reduce the required hardware iterations. 🔹 Integrated Qiskit Runtime Services (EstimatorV2) to deploy the tuned algorithm directly onto real IBM Quantum hardware. It's amazing to see the theoretical convergence gaps between ideal simulators and noisy hardware environments firsthand, and to use error mitigation strategies to bridge that gap. Looking forward to tackling even larger molecules next! 🔎 What the Graph Shows: Exact Energy (Red Dashed Line): The theoretical classical ground state energy of LiH at 1.5949 Å bond length (roughly -7.882 Hartree). Noiseless VQE (Blue Line): Demonstrates how the SPSA optimizer navigates the parameter landscape in an ideal statevector simulator. It starts high and smoothly converges down perfectly to the exact energy. Noisy VQE (Orange Line): Simulates what happens when using a real hardware noise model (like FakeManilaV2). It is warm-started (which is why it begins closer to the optimal value) but fluctuates due to shot noise and quantum errors. It ultimately converges slightly above the exact energy, hitting a "noise floor" which is typical for NISQ hardware without error mitigation. #QuantumComputing #Qiskit #IBMQuantum #QuantumChemistry #VQE #TechInnovation #Ionq #RigettiComputing #QA

Wall street article on quantum computing highlights the growing spend enterprises are doing on quantum. Enterprise users collectively spent $300 million on quantum in 2025, for the first time outranking the combined spending of research labs and governments, and signaling an inflection point in commercial interest in the technology, according to a report from Boston Consulting Group. https://lnkd.in/g_ngEV7V

Quantum computers will only be as good as the materials they're built from. That's where Delta Gold Technologies starts. Working with researchers at the University of Toronto and Penn State University, Delta investigates the unusual physical properties of gold at the nanoscale, and holds exclusive global licences to the intellectual property that emerges. The model is deliberate: rather than building every part of a quantum computer, Delta focuses on the physcial foundational layer — materials and device structures that could be licensed across quantum computing, sensing and communications. A foundational layer, and a business built to license it. Read how the strategy fits together: https://lnkd.in/ezY8hYNp #QuantumTechnology #IntellectualProperty #DeepTech #DGQ

🚀 SPHY-GQ-KERNEL: HARPIA GRAVITO-QUANTUM COMPUTING AT HYPER-DIMENSIONAL SCALE We've reached a new milestone in quantum computing: 1.2 MILLION qubits running in real time on IBM Qiskit 2.5.2! Telemetry from the Harpia Gravito-Quantum Kernel tests the system's resilience under extreme quantum stress conditions—operating with thermal noise maximizing p=1.0 and bit-flip rate at 1.0. ✨ WHAT'S NEW IN THE UPDATE: 🌌 Aquanet2 / QH2P Protocol: Advanced spacetime mesh simulation and quantum state homeostasis. ⚡ OpenQASM 3.0 Support: Optimized circuits supporting up to 120,000 qubits per run. 🔓 100% Open and Auditable: Completely free technology for the scientific community and developers. 🧪 Test the circuit's resilience in real time right now: 🔗 Direct access via IP: http://161.153.0.202:1986/ 🌐 Access via Domain: https://lnkd.in/dhzA4THU #QuantumComputing #Qiskit #IBMQuantum #OpenQASM #GravitoQuantum #HarpiaKernel #QuantumHardware #DeepTech #OpenSource #QuantumSimulation #TechInnovation #Aquanet2