EGK Quantum puts real quantum hardware in your pocket — from learning and debugging to reproducible quantum research. Run circuits on IBM Quantum or OQTOPUS-hosted hardware, inspect what actually runs on the backend, analyze real measurement results, and understand them with private, on-device AI. EDUCATION - Write and edit OpenQASM circuits with a built-in diagram view - Explore quantum states, gates, entanglement and interference - Run supported circuits on a local ideal simulator (Bell and GHZ examples included) - Ask the on-device AI to explain concepts and results in plain language DEBUGGING - Validate supported OpenQASM circuits locally - Inspect circuit structure and potential problems - Preview the circuit prepared for the target backend, including transpiled/native-gate views where available - Get AI-suggested fixes and review them before applying REAL QUANTUM HARDWARE - Submit supported circuits to IBM Quantum or OQTOPUS QPUs - Track submission, queue, running and completion states - Bring your own IBM Quantum or OQTOPUS credentials; none are hardcoded in the app RESEARCH WORKBENCH - Compare ideal simulation with measured hardware results - Calculate Total Variation Distance (TVD), classical fidelity and other distribution metrics - Inspect noise-related differences and capture backend/calibration data when provided - Rank qubits/layouts using supported calibration data - Apply readout-error mitigation where supported - Estimate workload before submission - Compare experiments across providers, devices and shot counts - Export research data for further analysis EXPERIMENT RECORDS Keep the circuit, backend/provider, shots, raw counts, ideal reference, transpiled circuit, calibration snapshot, metrics and mitigation results together, turning a hardware run into a reproducible experiment rather than just a job-history entry. AI-POWERED BUILDING & OPTIMIZATION Describe what you want, such as "a 3-qubit GHZ state", and the on-device AI drafts a supported circuit. Ask it to find redundant or combinable gates and suggest a leaner equivalent. Review changes before applying them. PRIVATE BY DESIGN AI explanations and suggestions run on-device. Your quantum results are analyzed locally and do not need to be sent to a cloud AI service. SUBSCRIPTION INFORMATION EGK Quantum Pro is an auto-renewing subscription that unlocks unlimited circuit submissions and on-device AI explanations after your 3 free runs. - Title: EGK Quantum Pro - Length: renews automatically every month unless cancelled - Price: shown on the in-app subscription screen and this listing before purchase, in your local currency; may vary by region - Payment: charged to your Apple ID at confirmation of purchase - Auto-renewal: renews unless auto-renew is turned off at least 24 hours before the end of the current period; your account is charged within 24 hours prior to period end at the same price unless it changes (Apple will notify you in advance) - Manage or cancel anytime in your Apple ID Account Settings; cancelling stops the NEXT renewal, not the period already paid for - Restore Purchases is available in-app Privacy Policy: https://egkhor.com.my/privacy Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Both links are also tappable on the in-app subscription screen. REQUIREMENTS An IBM Quantum Platform account (free Open Plan available) or an OQTOPUS account is required to submit jobs to real hardware. On-device AI needs a supported device with sufficient memory; the app tells you when requirements aren't met. Some research capabilities depend on information exposed by the selected provider and backend.

introduces a new Research Lab designed for quantum experimentation, hardware analysis, calibration-aware execution, and reproducible research workflows. Researchers can now record experiments, compare hardware results with deterministic ideal references, evaluate quantitative distribution metrics, inspect calibration data, apply readout-error mitigation, benchmark quantum providers, and export experimental results in JSON and CSV formats. The macOS EGKAICoreQuantum version has been aligned with the iOS EGKQuantum Research feature set while retaining native macOS interface conventions.

Compare Runs now includes a statistical comparison panel, showing how far apart your results are (total variation distance, fidelity, Jensen-Shannon divergence, and new outcomes) when you select two or more runs. When a circuit uses qubits that aren't directly connected on the chosen IBM device, the error message now shows how far apart they are and roughly how many SWAP operations routing would need. Under-the-hood improvements to how EGK AI Quantum Core reads IBM backend information.

This update brings EGK Quantum on Mac up to date with recent iOS features: AI Circuit Assistant — describe a circuit in plain language and get a draft OpenQASM circuit, or ask the on-device model to optimize your current circuit. Every suggestion is automatically simulated and verified against your original circuit before you can apply it. Job History — every run is now saved automatically. Browse, search, and select past runs to compare their results side-by-side. Improved AI explanations — result explanations are now backed by precomputed statistics, fixing cases where the on-device model could mischaracterize a result's distribution (e.g. describing a biased result as "evenly spread"). Result Comparison — Ran the same circuit on different devices or shot counts? Compare up to 4 results side-by-side with a visual chart, plus an AI-generated summary of what's actually different. Updated default IBM device to ibm_kingston. Minor stability and safety improvements to the AI-assisted circuit tools.

Bug Fixes & Improvements Fixed circuit failures on IBM Quantum for Teleportation, Grover's Algorithm, and Quantum Fourier Transform (QFT) circuits Fixed AI explanations sometimes failing to appear after the app returned from the background during a real quantum hardware queue wait Fixed a Dark Mode issue where text was unreadable General reliability improvements to circuit submission and on-device explanation