Quantum Rings Launches Free open quantum hardware platform
Quantum Rings Opens Quantum Platform to Remove Barriers
Quantum Rings
Quantum Rings Inc., known for its cutting-edge quantum developer tools, launched its Open Quantum platform to remove technological and financial barriers to quantum computing. The announcement claims the new platform provides instant cloud access to leading quantum computers from many major providers. These providers are Rigetti, IQM, and IonQ.
The Open Quantum platform democratises access, speeds up iteration, and helps create complex quantum algorithms and applications at scale. The platform was designed to bridge the gap between simulation and high-level quantum computer operation.
Quantum Rings teamed with qBitTensor Labs to accelerate adoption and experimentation. Due to this agreement, the companies are giving away hundreds of thousands of dollars in quantum computing credits. These credits are for public trials and provided first-come, first-served.
Smooth Integration, No-Code Workflows
Due to its simplicity, the new Open Quantum platform may be integrated into developer workflows via two main interfaces.
Developers can use a Python SDK that integrates with the open-source Qiskit framework. Full Qiskit compatibility ensures easy process integration without rework or upskilling. Additionally, the SDK supports several popular Qiskit-based packages, notably qiskit-finance.
Second, the platform's no-code internet interface makes uploading quantum circuits easy. This gateway lets developers access quantum hardware results in minutes. Windows, macOS, and Linux support the platform's design.
CEO Bob Wold says the Open Quantum platform gives researchers, engineers, and students access to high-fidelity quantum technology without budgetary limitations or proprietary interfaces. Quantum Rings' website offers platform access.
High-Performance Simulation Skills Quantum Rings' robust simulation environment lets you run complex quantum circuits on traditional devices like laptops. As the most advanced quantum simulator, this simulation SDK raises the bar for developers. This capability allows algorithms to be thoroughly tested and improved before being used on hardware.
The company provides researchers, corporations, and consultants with cutting-edge simulation technologies. Quantum Rings lets companies scale up their challenges, while true quantum computers have error rates of 0.1% to 2.0% each operation. Researchers can use the platform on their computer to solve real-world problems with millions of gate operations and hundreds of logical qubits. In contrast, state vector simulators limit local executions to 35 qubits.
The simulation technology is lauded for its excellent fidelity. The Quantum Rings simulator ran the largest and most complex circuits from the 2019 Google Quantum Supremacy Experiment on a traditional computer with 32 GB of RAM with unprecedented accuracy (Linear Cross Entropy (XEB) score of 0.622).
Cost-Effective Innovation through Simulation
Using physical quantum computers to build huge circuits sometimes involves expensive subscriptions, long wait times, high usage costs, and high mistake rates. To execute basic sample code can cost hundreds or thousands of dollars, while actual quantum computing can cost $1.60 per second or more. These unpredictable costs may deter teams from testing early and often.
Quantum Rings simulation on a user's infrastructure doesn't cost or take time. The organisation claims this speeds learning and iteration, yielding the best results faster.
Quantum Rings is cheap, including free academic plans up to 128 qubits and non-commercial plans up to 64 qubits. All subscriptions allow unlimited use and consistent pricing, so consumers may experiment as often as they want without worrying about costs. Applied Quantum Software CEO Tom Finke called Quantum Rings “Perhaps the most advanced simulator on the market today, executing hundreds of qubits on your laptop.” ASU's Computational Research Accelerator director Dr. Gil Speyer is excited about the innovation that will arise from large-scale research using this capabilities.
