Q-CTRL

The #quantum industry often prioritizes R&D benchmarks over the needs of end users who require deployable, interoperable systems. In our latest article for @QuantumDaily we share our view that it’s time to embrace a customer-value-centric approach. buff.ly/fa94MMD

Building quantum algorithms on today’s hardware? Choosing the right error reduction strategy can make or break performance. Learn about error suppression, mitigation, correction, and when to use them in our practical guide. Read the guide: buff.ly/nrL3A79

For HPC and data centers, success is defined by reliability and throughput. 🚀 But manual recalibration is the silent killer of quantum uptime. Boulder Opal removes the need for manual intervention with intelligent autonomy. 🛠️ Learn more: buff.ly/hAzqeW5 #Quantum #HPC

New to quantum development? Complex syntax and dense docs can slow you down. The AI Assistant in Q-CTRL Docs turns natural language prompts into working code so you can focus on building, testing, and learning faster. 💡Try it today: buff.ly/8fNQ96d #QuantumSolution #AI

#PracticalQuantumAdvantage is here. By augmenting @IBM hardware with our software, we achieved a 3,000x speedup in fermionic simulation, executing over 10,000 two-qubit logic operations to reduce a 100-hour task to just 2 minutes. Dive into the paper: buff.ly/7du9p3Z

Thrilled to share my Keynote from @IBM THINK yesterday where @qctrlHQ announced Practical Quantum Advantage in #quantumcomputing Q-CTRL is at the center of the global #quantum industry and we've delivered true advantage in both #sensing and QC!

#PracticalQuantumAdvantage marks a new commercial era where quantum computers outperform conventional alternatives. Our latest results show a 3,000x speedup in materials discovery, reducing a 100-hour simulation to just 2 minutes. buff.ly/bLmGbmS

Q-CTRL is excited to support the @scsp_ai Commission on US Quantum Primacy's mission to develop a bipartisan national quantum strategy. Join our VP of Sales and BD for this important session. Building the Quantum Alliance: Innovation Across Borders buff.ly/MwxjA2I

@IBM @MJBiercuk Stream the session on demand: ibm.com/think/videos/t…

We here at @IBM #Think2026 to present our practical quantum advantage simulation results. Tune in live to hear from @MJBiercuk to see how we are ushering in an era of positive ROI from #QuantumComputing augmented by infrastructure software. buff.ly/zMV0RKj

QUANTUM ADVANTAGE ALERT 🚨🚨 Classical simulation has killed every useful quantum claim, IBM/Quantinuum 56-qubit, Google sycamore-2, etc. Today, @qctrlHQ flipped the table. 3000× faster than SOTA classical. No error correction, just error suppression. 🧵 CC @MJBiercuk

Fast, accurate, high-resolution simulation of large-scale Fermi-Hubbard models on a digital quantum processor arxiv.org/html/2605.0402… ✍️ @qctrlHQ @MJBiercuk et al. via @arxiv ✍️ The Fermi-Hubbard model is a classic way to describe how electrons interact in materials, but it’s incredibly hard for normal computers to solve. While quantum computers are meant to help, they usually struggle with size and errors. ✍️In this paper, the authors report "experimental digital quantum simulation of the one-dimensional Fermi-Hubbard model on a superconducting quantum processor at a scale beyond the reach of exact statevector simulation and challenging for state-of-the-art tensor-network methods." 👉By using 120 qubits and efficient mapping, we ran up to 90 Trotter steps with high accuracy thanks to error suppression. 💡 "Our findings show that today’s digital quantum processors are a "versatile, quantitatively accurate, and competitive platform for the study of fermionic many-body dynamics in regimes where leading classical methods can become prohibitively expensive" @Corix_JC @ahier @sim010101 @Sonu_Monika @maponi @sallyeaves @CEO_AISOMA @dinisguarda @JagersbergKnut @Shi4Tech @FernandaKellner @PVynckier @EstelaMandela @chidambara09 @ChuckDBrooks @SusanHayes_ @theomitsa @TarakRindani @FrRonconi @Nicochan33 @sulefati7 @JoannMoretti @Khulood_Almani @Fabriziobustama @TheAIObserverX @pchamard @TysonLester @Eli_Krumova @smaksked @amalmerzouk @Analytics_699 @MaryRich78 @NathaliaLeHen @mikeflache @sminaev2015 @WillyRayNick @DanielleLargier @RLDI_Lamy

And @MJBiercuk saves a quantum advantage example - in aaterials simulation quantum took 2 minute. Classic computing 100 hours. Of course using @qctrlHQ... #IBMThink

Next up - @IBM Quantum Partner @qctrlHQ CEO @MJBiercuk talking about the partnershil, like first on Quiskit. #IBMThink

BREAKING: Q-CTRL's Practical Quantum Advantage has landed 🛬 Big thanks to Michael Biercuk (@MJBiercuk) , Yuval Baum, and Gavin Hartnett at @qctrlHQ for the pre-publication briefing on their new results. Conversations like these are what make writing about this field worthwhile, and seeing people trying to do right by the industry. And I get to ask questions, push on the framing, and dig into why specific choices were made. 🟣 1D Fermi-Hubbard simulation on IBM's ibm_boston, 120 qubits, 9,057 two-qubit gates across 152 layers 🟣 ~2 minutes quantum vs. ~100 hours classical (ITensor TDVP at χ = 4096 on a 32-core CPU node) — up to 3,000× faster at the agreement boundary 🟣 Run on the public IBM Quantum API. No privileged access, no special calibration 🟣 Validated against the classical baseline within ~1% RMSE up to t ≈ 5.2; ~4% residual error at the longest evolution times tested (community tolerance is 5–10%) The rigor of how they defined the claim — publicly accessible hardware, no privileged access, validated against the tool the community actually uses, explicit about where correctness becomes indeterminate — is how you build trust in the next era of quantum.

IT'S HERE! @qctrlHQ & @IBM bring you Practical Quantum Advantage! A real problem that people pay actual $ to solve today is 3000X faster on a #quantumcomputer than the industry-standard alternative Positive ROI is here for quantum! q-ctrl.com/blog/q-ctrl-de…

Today we achieved #PracticalQuantumAdvantage By augmenting the @IBM Quantum Platform with our performance management software, we achieved a 3,000x speedup in #materials discovery, reducing a 100-hour fermionic #simulation to just two minutes. buff.ly/H5WAsSr

Enterprise teams don’t need in-depth circuit design knowledge—they need answers to real problems. Fire Opal Optimization Solver Qiskit Function turns high-level inputs into meaningful results on IBM Quantum. 1-year free access for eligible IBM users: buff.ly/2YIkMTj

@qctrlHQ has revealed its quantum navigation system, Ironstone Opal, The company claims the system has already been tested across air, land, and sea, where it demonstrated reliable positioning without relying on GPS. Read more electronicsforu.com/special/quantu…

We are excited to be at the @LearnTechUK in London today to showcase how to build a #quantum-ready workforce. See how the @nqcc_official uses Black Opal to build quantum capability in schools, universities, and enterprises across the UK. buff.ly/94oPP4q