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Scientists Discover Way to Send Information into Black Holes Without Using Energy

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World-First Quantum Cloud Maximizes Full Power of Quantum Computers

Researchers in Japan have developed a groundbreaking technology that could significantly improve how quantum computers are used in the real world. The new system, called quantum multi-programming auto mode, allows multiple users to run their quantum programs at the same time on the same quantum processor. This innovation may help solve one of the biggest problems in quantum computing today: wasted processing power and long waiting times.

Developed by researchers at the Center for Quantum Information and Quantum Biology (QIQB) at the University of Osaka, in collaboration with Systems Engineering Consultants Co., Ltd. (SEC) and Juntendo University, the system is now integrated into a quantum computer cloud service. It represents a major step toward making quantum computing more efficient, scalable, and accessible.

🌐 Why Quantum Cloud Computing Needs Improvement

Quantum computers are expected to become the next revolution in computing. Unlike classical computers, they use qubits, which can process complex calculations far faster in certain fields such as chemistry, cryptography, and material science.

However, there is a major challenge: access to real quantum hardware is extremely limited.

Quantum processors require:

  • Ultra-low temperatures

  • Highly controlled environments

  • Specialized laboratory systems

Because of this, most users access quantum computers through cloud-based services, where multiple researchers submit jobs remotely.

But this system has created a new bottleneck—waiting time.

In most current systems, when a user submits a job, it occupies the entire quantum chip—even if it only needs a small portion of it. This leads to:

  • Underused qubits

  • Longer queues

  • Lower efficiency

In other words, powerful quantum chips often sit partially idle while other users wait for their turn.

⚡ The Big Innovation: Quantum Multi-Programming Auto Mode

The new system developed by the Japanese team directly addresses this inefficiency.

Previously, quantum multi-programming existed only in a manual mode, where users had to specify multiple programs themselves. The new auto mode changes everything by automatically selecting and combining jobs from different users and running them together.

This means multiple quantum programs can now share the same chip at the same time—just like how modern cloud servers handle multiple applications simultaneously.

According to researcher MORI Toshio from the University of Osaka, reducing waiting time is one of the most important steps toward making quantum computing practical and widely usable.

🧠 How the System Makes Quantum Computing Smarter

The innovation is not just about running multiple programs together. The system uses advanced mathematical techniques to decide how to combine jobs efficiently.

Here is how it works in simple terms:

1. Turning Circuits into Graphs

Each quantum program is converted into a graph structure, where:

  • Points represent qubits

  • Lines represent connections between them

The quantum chip is also represented as a graph.

2. Solving a Puzzle-like Problem

The system then solves a complex problem called subgraph isomorphism. This is like fitting multiple puzzle pieces into one board in the most efficient way.

It determines:

  • Which jobs can run together

  • How qubits can be shared

  • How to avoid conflicts

This optimization is handled using an integer programming solver, which finds the best arrangement quickly.

3. Handling Real Hardware Limitations

Quantum hardware is not perfect. There are restrictions such as:

  • Limited connections between qubits

  • Directional constraints (some operations only work one way)

The system automatically adjusts circuits through a process called transpilation, so users do not need to worry about hardware complexity.

4. Ensuring Fairness for All Users

One key concern in shared computing systems is fairness.

To solve this, the system:

  • Looks at a fixed number of jobs in the queue

  • Prioritizes older jobs

  • Still tries to combine tasks efficiently

This ensures no user is left waiting too long while improving overall performance.

📈 Real Performance Results

The researchers tested the system using realistic workloads based on actual user behavior.

In one experiment:

  • 5 users submitted 110 quantum jobs

  • Each job used small 2-qubit circuits

  • The system ran on an 11-qubit chip

The result:

👉 Throughput increased by 3.76 times

This means the system processed almost four times more computation in the same amount of time compared to traditional methods.

💡 Why This Matters for Quantum Computing

Quantum computers are still in the noisy intermediate-scale quantum (NISQ) era, where hardware is powerful but limited in size and stability.

One of the biggest challenges in this phase is resource inefficiency.

The new system helps solve this by:

  • Reducing idle qubits

  • Improving hardware utilization

  • Lowering waiting times

  • Increasing total output

This makes quantum cloud services far more practical for real-world research and development.

🔬 Expert Views on the Breakthrough

Researchers involved in the project believe this is a key step toward practical quantum computing.

Uchida Ryo (SEC) explained that better utilization of qubits will be essential as quantum systems grow larger. He emphasized that parallel execution and optimized allocation are critical for future efficiency.

Professor Nakada Hidemoto (Juntendo University) highlighted an important insight: classical computing methods—like optimization algorithms—can still play a major role in improving quantum systems.

This shows that the future of computing may depend on a hybrid approach combining both classical and quantum technologies.

🧩 Built into Open-Source Quantum Software

The new system has already been implemented in OQTOPUS, an open-source quantum computing software stack.

It will be gradually deployed through the Quantum Software Consortium, allowing organizations using the University of Osaka’s quantum cloud service to access the new feature.

This ensures that the innovation is not limited to one lab but can benefit the global research community.

🔮 What Comes Next

The research team plans to continue improving both software and system design for quantum computing. Their goal is to:

  • Increase usability

  • Improve performance

  • Expand deployment across other quantum systems

As quantum computers grow larger and more powerful, technologies like multi-programming auto mode will become increasingly important.

🌟 Conclusion

The development of quantum multi-programming auto mode marks a major milestone in quantum computing infrastructure.

Instead of letting valuable qubits sit idle, the system intelligently shares resources across multiple users, dramatically improving efficiency and reducing delays.

With a performance boost of nearly 4× throughput, this innovation could help accelerate scientific discovery and bring practical quantum computing closer to reality.

In the long run, this kind of smart scheduling may become a core feature of all quantum cloud platforms—ensuring that the immense potential of quantum computers is fully utilized.

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