memQ Unleashes Open Quantum Compiler Across Networks

memQ has just open-sourced its Distributed Quantum Compiler (DQC), a breakthrough framework that lets quantum programs run across multiple interconnected quantum processors instead of being limited to a single device. This release is designed to accelerate research into scalable, networked quantum computing.

Distributed Quantum Computing (DQC) is special because it connects multiple quantum processors (QPUs) into a single networked system, allowing them to share entangled states and execute computations collaboratively — overcoming the physical limits of scaling a single device.

memQ’s Distributed Quantum Compiler (DQC) is unique because it’s the first open-source framework designed to let quantum programs run across multiple interconnected quantum processors (QPUs), rather than being confined to a single device.

memQ is one of the few quantum companies focused not just on building bigger quantum processors, but on networking them together into an extensible quantum network architecture. This approach blends quantum science, advanced materials, and integrated photonics to enable scalable, resilient, and cost‑effective distributed quantum computing.

Unlike most quantum firms chasing qubit density on a single chip, memQ builds architectures that connect multiple quantum processing units (QPUs) through entangled photons, enabling scale‑out quantum computing.

memQ Open-Sources Distributed Quantum Compiler

memQ’s DQC is special because it transforms quantum computing from a single‑device paradigm into a distributed, network‑aware ecosystem, laying the foundation for the quantum internet.

Key Highlights of memQ’s DQC

• Open-source release: Available on GitHub under Apache-2.0 license, enabling global collaboration.
• Multi-QPU support: Compiles and schedules circuits across heterogeneous quantum processors connected via optical quantum channels.
• Modality-agnostic design: Works with different qubit technologies (superconducting, trapped ions, photonic, etc.).
• Quantum Network Constructor: Graphical tool to define processor layouts and interconnections.
• Partitioning engines: Includes dynamic interaction (Kernighan-Lin) and hypergraph partitioning (KaHyPar) to optimize entanglement use.
• Scheduling & verification: Discrete-event schedulers simulate photon arrivals and validate output equivalence.

Comparison: memQ DQC vs Conventional Quantum Compilers

Feature	memQ DQC	Conventional Compilers
Target	Multi-QPU distributed networks	Single QPU
Qubit Types	Modality-agnostic (multi-vendor)	Vendor-specific
Network Awareness	Models entanglement, teleportation, photon arrivals	No network-level modeling
Partitioning	Dynamic + hypergraph strategies	Static, single-processor
Scheduling	Time-resolved Gantt charts with stochastic events	Local gate scheduling only
Scalability	Hundreds of qubits across processors	Limited by single device capacity

Impact

• Policy alignment: Coincides with U.S. Executive Order 14413 (June 2026), mandating frameworks for distributed quantum computing.
• Research utility: Enables simulation of hundreds of qubits across 8 interconnected QPUs.
• Industry relevance: Provides a path to overcome scaling limits of single quantum computers, crucial for drug discovery, cryptography, and defense systems.

Challenges & Trade-offs

• Complexity: Cross-QPU operations require state teleportation or gate teleportation, adding overhead.
• Hardware constraints: Performance depends on entanglement generation rates, decoherence times, and link fidelities.
• Experimental stage: Current release is beta (v0.1.2), APIs may change and stability is not guaranteed.

What This Means for You

For researchers and developers in India and globally, memQ’s DQC provides a plug-and-play framework to experiment with distributed  quantum architectures without needing deep expertise in quantum networking. It’s a major step toward scalable, interoperable quantum computing.

Evanston, Illinois-headquartered memQ's DQC is special because it transforms quantum computing from a single‑device paradigm into a distributed, network‑aware ecosystem, laying the foundation for the quantum internet.

Beyond memQ, the distributed quantum compiler space includes both legacy research prototypes and newer open‑source frameworks like DQC1 (MLIR/LLVM‑based) and modular toolchains built around OpenQASM 3. These projects share the goal of partitioning circuits across multiple QPUs and enabling teleportation‑based remote gates.

Cisco and KETS Bring Quantum Security to the World’s Networks

Cisco has officially integrated KETS Quantum Security’s chip-based Quantum Key Distribution (QKD) into its IOS XR routing infrastructure, delivering end-to-end quantum‑safe encryption for enterprise and critical infrastructure networks. This marks a major milestone in practical deployment of quantum‑resilient networking.

For several years, Cisco and its partners have been advancing distributed quantum networking, aiming to lay the foundation for a quantum internet that could emerge in the late 2030s—an ecosystem defined by interconnected quantum computers, sensors, and secure communications.

The company views today’s quantum systems as impressive but constrained, operating at hundreds of qubits, while real‑world applications in healthcare, finance, and aerospace will demand millions of qubits to unlock unprecedented speed and breakthroughs. Cisco emphasizes that networking and connectivity are essential to bridging this gap, underscoring that the quantum future will be built not by a single company or technology, but by interconnecting diverse systems.

Meanwhile, KETS Quantum Security positions itself as the UK’s most commercially advanced provider of chip‑based quantum‑safe encryption, with a mission to deliver scalable, cost‑effective QKD services for practical deployment. Its QKD system, built on photonic chip technology, enables the generation and distribution of encryption keys secured by the laws of quantum physics. These keys safeguard critical data against advanced computing threats, ensuring long‑term security in an increasingly complex cyber landscape.  

Key Highlights of the Cisco–KETS Integration

• Technology: KETS’ chip‑based QKD system built on photonic chips, enabling secure encryption keys generated by quantum physics.
• Integration: Works seamlessly with Cisco IOS XR routers using MACsec (Media Access Control Security).
• Demonstration: Showed automatic key exchange and encryption without disrupting performance.
• Security Benefits: Quantum resistance, automated key refresh, reduced hardware footprint.
• Compatibility: Operationally compatible with existing enterprise and carrier infrastructure.

Comparative Context

Feature	Cisco + KETS QKD	Conventional Encryption
Key Security	Quantum physics‑secured keys	Mathematical hardness assumptions
Integration	Seamless with IOS XR + MACsec	Classical MACsec only
Performance Impact	No disruption in throughput	Minimal but vulnerable to quantum attacks
Hardware Footprint	Chip‑scale, compact	Larger, more complex
Future Resilience	Resistant to quantum computers	Breakable once large‑scale quantum computers arrive

Strategic Significance

• Enterprise & Critical Infrastructure: Protects sensitive data in finance, telecom, government, and defense sectors.
• Regulatory Pressure: Growing mandates for quantum‑safe solutions make this integration timely.
• Global Context: Builds on Cisco’s earlier QKD support in IOS XR and KETS’ QKD v2.0 unit.
• India’s Relevance: Could accelerate adoption in defense, fintech, and healthcare sectors.

Risks & Challenges

• Prototype Stage: Widespread deployment will require further testing.
• Integration Complexity: Enterprises must adapt workflows to quantum‑ready systems.
• Evolving Standards: Global quantum networking standards are still under development.
• Cost Considerations: Scaling across networks may still be capital‑intensive.

Quantum Leap: IBM’s Nighthawk r2 Breaks Barriers

IBM has just unveiled the Nighthawk r2, its fastest quantum processor to date, capable of executing over 100,000 circuits per second—25 times faster than the Heron fleet—thanks to a groundbreaking dissipative qubit reset system. With 120 programmable qubits and advanced couplers, it marks a major 2026 milestone in IBM’s quantum roadmap.

Key Highlights of IBM Nighthawk r2

• Fastest IBM processor: Executes 100,000+ circuits per second, a 25x speed boost over Heron (~4,000 circuits/sec).
• Qubit architecture: 120 programmable qubits, 218 inter-qubit couplers, 120 independent reset elements (458 total quantum elements).
• Dissipative reset innovation: Drops qubit relaxation time (T1) from ~200 µs to ~25 ns, reduces idle times to ~1 µs, cuts initialization errors by ~25x.
• Complex circuit capability: Accurate execution of circuits with 7,500+ gates, a critical 2026 roadmap milestone.
• Applications: Real-time simulations, quantum error correction, and fault-tolerant computing research.

Comparison: Nighthawk r2 vs Heron

Feature	Nighthawk r2	Heron
Qubit Count	120	133 (Heron fleet)
Circuit Throughput	100,000+/sec	~4,000/sec
Reset System	Dissipative reset (25 ns T1)	Conditional reset (~200 µs T1)
Initialization Error	~25x lower	Higher
Gate Fidelity	Maintains Heron-class	Standard
Roadmap Milestone	7,500+ gate circuits	~1,000–2,000 gate circuits

Strategic Context

• Global Race: IBM’s Nighthawk r2 positions it ahead of rivals by combining speed, scale, and error correction.
• India’s Relevance: With Amaravati’s upcoming IBM Quantum System Two (156-qubit), India integrates into IBM’s global quantum ecosystem.
• Future Outlook: IBM’s roadmap targets fault-tolerant quantum computing by 2029, with modular cryogenic systems already being tested.

Risks & Challenges

• Hardware complexity: 458 physical quantum elements increase engineering demands.
• Error correction gap: Scaling error correction to thousands of qubits remains unresolved.
• Global competition: Chinese labs and Google are already testing 1,000+ qubit systems, so IBM must accelerate deployment.

IBM Ventures Invests in BQP: Quantum Physics Acceleration Reaches Production

BQP Founding Team

• IBM Ventures has invested in BQP, bringing total funding to $8M and backing BQP's expansion from engineering design into real-time operational decisions. The investment extends a technical relationship that began in 2023, when BQP joined the IBM Quantum Network.


• Classical solvers leave roughly 85% of a GPU's floating-point capacity idle. BQP's flagship platform, BQPhy®, puts that capacity to work, resolving full-fidelity physics inside operational decision windows.


• BQPhy® is in production with aerospace and defense customers, with contracted and committed revenue up 8x since BQP's 2025 seed round and 3x customer growth.

BQP, the physics acceleration company, today announced a strategic investment from IBM Ventures, the venture capital arm of IBM. The investment brings BQP's total funding to $8M and funds BQPhy®'s expansion from engineering design into operational deployment, scaling delivery and go-to-market as BQP expands beyond aerospace and defense. Venn10 Capital and existing investor Monta Vista Capital also participated. Since its 2025 seed round, backed by New York State's venture arm and other institutional investors, BQP has grown contracted and committed revenue 8x, tripling its customer base and growing platform users 20x.

"An engineer with a deadline doesn't care where the answer came from. They care that it arrived in time and that the physics is right. The industry spent years treating this as a hardware problem that warranted faster chips, more of them, and eventually a quantum one. But it was always a software problem," said Abhishek Chopra, Founder and CEO of BQP.

Chopra added: "We spent those years earning our way into engineering workflows, so when the quantum machines are ready, nothing about how those teams work has to change. That's the path IBM has watched us build since 2023, and this investment says it's the right one."

Mission-critical decisions have deadlines, and high-fidelity physics simulations rarely meet them. More hardware has not closed the gap. Classical physics solvers leave roughly 85% of a GPU's floating-point capacity idle, because the sparse iterative methods underneath simulation are bound by memory access rather than compute. Teams choose between accurate models that return the right answer too late, or fast methods that answer on time by skipping the physics, leaving hidden risk behind over-engineered safety margins.

BQPhy® removes this trade-off between speed and accuracy. Its physics-AI optimization engine resolves the full physics inside the decision window, using the GPU capacity classical solvers leave idle. The platform delivers this through two solvers that share a single SDK, integrated natively into MATLAB as a MathWorks Connections Program partner, with standard APIs for Python, Julia, and other frameworks. This enables engineers to get the answers without leaving the tools they already use.

QuantumNOW™ is in production today on customers' existing CPU and GPU infrastructure, and each deployment maps which problems belong on a QPU - making QuantumMAX™, BQP's quantum-native solver in development, an on-ramp rather than a bet. It is written for heterogeneous CPU-GPU-QPU execution rather than a single hardware target.

"What stood out with BQP is that users don't have to change how they work to get quantum-accelerated results. Their proven track record of developing software that helps enterprises build a practical path toward hybrid quantum-classical computing is what gives IBM Ventures confidence in making this investment," said Emily Fontaine, Global Head of IBM Ventures.

In aerospace and defense, BQP's furthest-along work is in space. Under an SBIR with the U.S. Space Force and SpaceWERX, extending earlier work with the SDA TAP Lab, BQPhy®'s physics AI propagates a catalog of more than 3,000 space objects in under a second, roughly 250x faster than the open-source Orekit solver by compressing the model using proprietary algorithms. BQP also holds a CRADA with the Air Force Research Laboratory's Aerospace Systems Directorate and has demonstrated BQPhy® on radio-frequency signal problems for the tactical edge with NavalX. With Modovolo, BQP built a system-level propulsion optimization for UAV mission profiles, expanding from three design variables to more than twelve and tuning propeller and motor as a single unit; integration took roughly one week through the API.

In energy, BQP is applying the same platform to commercial systems, with EV battery thermal management work funded by India's Ministry of Heavy Industries and the Indian School of Business.

The same engine that predicts where a satellite is heading also predicts how heat moves through a battery pack or a data center rack: different industries with the same high-dimensional physics that has to resolve before the decision window closes.

QuantumNOW™ is in production; QuantumMAX™ is proving out. In work presented at USNC/TAM 2026, BQP ran QuantumMAX™ on quantum hardware for uncertainty quantification in computational fluid dynamics, reaching the same accuracy as classical Monte Carlo with fewer samples on a benchmark-scale problem. BQP's research is published in IEEE, AIAA, and APL Quantum, with best paper awards at AeroCon 2026 and the IEEE Space, Aerospace and Defence Conference (SPACE 2026).

About BQP

BQP (formerly BosonQ Psi) is a physics acceleration company applying quantum algorithms to mission-critical operational decisions. Its unified Quantum-HPC platform, BQPhy®, pairs physics AI surrogates with an optimization solver, delivering results on today's CPU and GPU infrastructure through QuantumNOW™ with quantum-native acceleration in development through QuantumMAX™ - both on a single SDK. Headquartered in Syracuse, New York, with offices in the UK and India. Learn more at https://www.bqpsim.com

Tech Mahindra Partners with IISER Pune’s I‑HUB QTF to Advance Indigenous Trapped‑Ion Quantum Computing in India

Tech Mahindra (NSE: TECHM), a global leader in technology consulting and digital solutions, has announced that it haspartnered with the I-HUB Quantum Technology Foundation (I-HUB QTF), hosted at the Indian Institute of Science Education and Research (IISER) Pune, to accelerate India’s indigenous trapped-ion quantum computing capabilities. I-HUB QTF is currently developing a full-stack 20-qubit quantum computer based on the trapped-ion platform.

For an uninitiated, "Trapped‑ion quantum computing" is a leading architecture where individual atomic ions are suspended in electromagnetic fields and manipulated with lasers to serve as qubits. It is considered one of the most accurate and scalable approaches to building universal quantum computers.

As part of this collaboration, Tech Mahindra and I-HUB QTF will co-develop middleware for the trapped-ion quantum computer. The project is expected to be completed by December 2026, with commercialization activities to follow. This middleware will enable seamless communication between quantum hardware and control electronics, ensuring efficient execution of quantum workloads. Tech Mahindra will leverage its engineering expertise to build a scalable software foundation for the platform.

The partnership aims to democratize access to indigenous quantum infrastructure for Indian researchers, startups, students, enterprises, and strategic sector innovators. This will allow users to experiment, build skills, and develop applications in areas such as drug discovery, logistics, cryptography, and defence.

Nikhil Malhotra, Chief AI & Innovation Officer at Tech Mahindra, stated, "Quantum computing can unlock transformative opportunities across industries and strategic sectors. To realize this potential for India, we need strong indigenous capabilities that combine advanced research with scalable engineering. Through our partnership with I-HUB QTF, we are merging scientific expertise with engineering excellence to accelerate India’s trapped-ion quantum ecosystem and deliver future-ready solutions.”

Quantum computing is poised to amplify AI by solving highly complex problems beyond the reach of classical systems. As India strengthens its sovereign AI capabilities, indigenous quantum infrastructure will be critical in advancing research, fostering innovation, and enabling next-generation enterprise applications. The platform will support algorithm development, quantum machine learning (QML), and post-quantum cryptography (PQC), while serving as a training ground for researchers, students, startups, and technology professionals.

Kunj Tandon, CEO of I-HUB QTF, added:
“Quantum technologies are strategically vital for India. Moving them from lab to market requires deep-tech product development and strong industry-academia collaboration. Partnering with Tech Mahindra brings proven engineering software expertise, helping us build a robust quantum ecosystem for the country.”

I-HUB QTF continues to advance trapped-ion quantum computing technology in India. Once operational, the facility will be opened to the Indian community for industrial and academic use, significantly enhancing the nation’s quantum computing capabilities.

Hexaware to Invest £25 Million in UK Expansion, Creating 1,200 Jobs in AI, Digital Services, and Quantum Computing

• New R&D centers in Manchester and Leeds, expanded delivery center in Birmingham, recognized by the UK Government at the G7 Summit

Hexaware Technologies (NSE: HEXT), a global provider of IT solutions and services, plans to invest £25 million to expand its UK operations, a move expected to create around 1,200 jobs across Manchester, Leeds, and Birmingham over the next three to five years.

Hexaware’s investment plan was among those the UK Government announced at the G7 Summit on June 16, 2026, as part of a wider set of international commitments to its AI and clean energy agenda. The company will expand its delivery center in Birmingham and establish R&D centers in Manchester and Leeds. The investment will accelerate innovation at scale across new and emerging technologies, including AI, digital services, and quantum computing, with a focus on developing local talent, advancing research, and driving modernization in citizen and public services.

R. Srikrishna, CEO & Executive Director, Hexaware, said, “Hexaware has worked alongside businesses in the UK for more than three decades. We have very high ambitions for our growth, creating impact in the UK and proudly supporting the Government’s inclusive vision for AI. Our investments are focused on developing young talent, working with unique published datasets, and collaborating with government at all levels across the country to create a positive impact for the citizens of the UK. These investments in AI research, digital innovation for citizen services, and talent incubation will create meaningful social impact while fueling and accelerating the UK’s long-term economic growth.”

Parameshwaran (Param) Iyer, Executive Vice President, Head – UK and Europe, Hexaware, said, “The UK is one of our fastest-growing markets, and this investment reflects the confidence our clients and the UK Government place in Hexaware. Our UK clients are moving fast on AI, and having research and delivery talent on the ground here means we can build with them rather than for them.”

The UK is Hexaware’s second-largest global market and its fastest-growing geography, where the company opened its UK headquarters in London’s Canary Wharf in 2025.