

The email address and phone number of Sonny have been verified.
Sonny
- Rate UGX 39,815
- Response 6h
-
Students4
Number of students Sonny has accompanied since arriving at Superprof
Number of students Sonny has accompanied since arriving at Superprof

UGX 39,815/hr
1st lesson free
- Physics
Quantum Reality - Full Stack AI enablement. GPU + Qubit + DWAVE -/+ IonQ π= Quantum Actuality
- Physics
Lesson location
Recommended
Sonny is a respected member of our tutor community. He is highly recommended for his commitment and the quality of his lessons. An excellent choice to progress with confidence.
About Sonny
Target Audience and Prerequisites
Audience:
Software engineers, data scientists, researchers, or students exploring quantum advantage in hybrid settings.
Prerequisites: Basic linear algebra, probability, Python programming. Familiarity with classical ML or HPC is helpful but not required.
No prior quantum experience needed—foundational modules build it.
Course Duration and Format
Length:
5 Student Minimum
2 one hour lectures with 1 hour Q&A weekly
12 weeks (or self-paced equivalent), with 4-6 hours/week.
- Format: Lectures + hands-on labs (using simulators and real cloud access via IonQ, Rigetti, or open platforms), assignments, and a capstone hybrid project.
-Tools/Platforms: Qiskit, Cirq, PennyLane (for hybrid differentiable programming), pyQuil/Forest (Rigetti), Ocean (D-Wave), Azure Quantum or Amazon Braket for hybrid sessions, classical HPC elements (e.g., GPU integration).
About the lesson
- Primary
- Secondary
- Tertiary
- +6
levels :
Primary
Secondary
Tertiary
University
Adult Education
Masters
PhD (Doctor of Philosophy)
MBA
Early childhood education
- English
All languages in which the lesson is available :
English
Course Objectives
By the end of the course, participants will be able to:
- Explain core quantum principles (superposition, entanglement, measurement) and their limitations in real hardware.
- Design, simulate, and execute hybrid quantum-classical algorithms (e.g., variational quantum algorithms, quantum machine learning).
- Navigate the full quantum-classical stack: hardware control, compilers, runtime, middleware, and application layers.
- Integrate quantum backends (cloud or simulators) with classical frameworks like PyTorch/TensorFlow for end-to-end workflows.
- Evaluate trade-offs in hybrid models for applications in optimization, chemistry, ML, and materials science.
- Discuss scalability challenges, error correction, and future fault-tolerant integration.
- Quantum control engineering
- Full Stack orchestration using Qiskit and Cirq frameworks
Quantum-Classical Entanglement:
Leveraging Full-Stack Hybrid Models".
This course bridges quantum and classical computing, focusing on hybrid systems where quantum processors (leveraging superposition, entanglement, and interference) collaborate tightly with classical hardware and software.
It emphasizes practical "full-stack" integration—from hardware to high-level applications—drawing on platforms from companies like IonQ (trapped-ion, first publicly traded pure-play quantum firm), Rigetti (superconducting), and D-Wave (annealing with hybrid solvers), alongside broader ecosystems like IBM Qiskit, PennyLane, and HPC-QC frameworks.
The course targets intermediate learners (e.g., computer science, physics, or engineering backgrounds) interested in NISQ-era (Noisy Intermediate-Scale Quantum) realities and near-term hybrid workflows.
It highlights how classical systems handle orchestration, error mitigation, optimization loops, and data preprocessing, while quantum components accelerate intractable subproblems via entanglement-enabled parallelism.
Recommendations
Recommendations come from relatives, friends and acquaintances of the teacher
Sonny is among the best people i have ever met. A military trained genius with a heart of gold. Sonny is an ambitious go getter, with patience and compassion. I highly recommend my friend as a super tutor.
I met Sonny in 2026 on a chairlift at Beaver Creek Ski Resort in Colorado. When we realized that we attended the same church, we became fast friends.
Sonny is intelligent, high energy and always exudes a positive vibe. He is a loyal friend and adds value to the lives of those who know him.
View more recommendations
Rates
Rate
- UGX 39,815
Pack prices
- 5h: UGX 195
- 10h: UGX 390
free lessons
The first free lesson with Sonny will allow you to get to know each other and clearly specify your needs for your next lessons.
- 1hr
online
- UGX 39,815/hr
Similar Physics teachers in Austin
Hillary
Kampala & Online
- UGX 75,000/hr
- 1st lesson free
Erongot
Mbale & Online
- UGX 35,000/hr
- 1st lesson free
Katusiime
Gaba & Online
- UGX 30,000/hr
- 1st lesson free
Khalid
Kampala & Online
- UGX 20,000/hr
- 1st lesson free
Jennifer
Lugazi & Online
- UGX 35,000/hr
- 1st lesson free
Sharifu
Kyengera & Online
- UGX 25,000/hr
- 1st lesson free
Alireza
Richmond Hill, Canada & Online
- UGX 136,943/hr
- 1st lesson free
Chris
Paris 16e, France & Online
- UGX 524,396/hr
- 1st lesson free
Riccardo
Roma, Italy & Online
- UGX 112,050/hr
- 1st lesson free
Hamid
Vancouver, Canada & Online
- UGX 217,990/hr
- 1st lesson free
Houssem
Paris 1er, France & Online
- UGX 268,921/hr
- 1st lesson free
Mounir
Paris 8e, France & Online
- UGX 179,281/hr
- 1st lesson free
Ptashanna
Paris, France & Online
- UGX 448,202/hr
- 1st lesson free
Gianni
Ariano Irpino, Italy & Online
- UGX 85,158/hr
- 1st lesson free
Davayne
Baldwinsville, United States & Online
- UGX 79,631/hr
- 1st lesson free
Filippo
Roma, Italy & Online
- UGX 179,281/hr
- 1st lesson free
Michel
Paris 5e, France & Online
- UGX 246,511/hr
- 1st lesson free
Paolo
London, United Kingdom & Online
- UGX 184,546/hr
- 1st lesson free
Gregor
Heidelberg, Germany & Online
- UGX 264,439/hr
- 1st lesson free
Divya
Vancouver, Canada & Online
- UGX 153,711/hr
- 1st lesson free
-
See Physics tutors
