#hybrid computing

A hybrid computer is an Enterprise PC with Quantum abilities without the need to be on the slow world wide web to work on a “Cloud”, (Online data centers host of Networks). Learning with YouTube:Quantum and Classical Partnership: Unlocking the Next Era Educational Analysis Report The future of computing isn’t about quantum computers replacing classical ones; it’s about a powerful synergy. The…

📜 What Is the NISQ Era?

The NISQ era describes the current stage of quantum computing.

Today’s quantum machines:

Have tens to hundreds of qubits Are highly sensitive to noise Lack full error correction

They are powerful experimental systems — but not yet fully fault-tolerant computers.

NISQ devices represent a transitional phase between early prototypes and future large-scale quantum systems.

⚖️ Quantum Advantage vs Quantum Supremacy

Two commonly confused terms define progress in quantum computing.

🔹 Quantum Supremacy

A quantum computer performs a task that is practically impossible for any classical computer.

Characteristics:

Highly specialised tasks Limited real-world usefulness Proof-of-concept demonstrations

🔹 Quantum Advantage

A quantum computer delivers measurable benefits for real problems.

Characteristics:

Practical relevance Often hybrid classical-quantum Incremental performance gains

Most current work focuses on quantum advantage, not supremacy.

🧪 What Quantum Computers Can Do Today

Despite limitations, NISQ devices are already useful in specific domains.

🔹 Quantum Simulation for Chemistry

Simulating molecular behaviour at the quantum level.

Applications include:

Drug discovery Catalyst design Material behaviour analysis

Quantum systems naturally model quantum interactions.

🔹 Variational Quantum Algorithms

Hybrid algorithms that combine classical optimisation with quantum circuits.

Common examples:

Variational Quantum Eigensolver (VQE) Quantum Approximate Optimization Algorithm (QAOA)

Why they matter:

Designed for noisy hardware Scalable with limited qubits

🔹 Quantum Machine Learning Experiments

Exploratory research area.

Focus areas:

Feature encoding Kernel methods Hybrid quantum-classical models

Still experimental — but promising.

🔄 Hybrid Classical-Quantum Workflows

Most practical quantum applications today are hybrid systems.

Typical workflow:

Classical system prepares data Quantum circuit processes key components Classical system optimises parameters

This approach maximises value from limited quantum hardware.

⚠️ Current Limitations

NISQ devices face major constraints.

Key challenges:

Noise and decoherence Short circuit depth Limited qubit connectivity High error rates

These limitations restrict problem size and complexity.

🧠 Why the NISQ Era Still Matters

Even with limitations, NISQ research is critical.

It enables:

Algorithm experimentation Hardware benchmarking Software tool development Industry learning and readiness

The NISQ era is about building knowledge, not replacing classical computing.

🔍 Where This Episode Fits

This episode clarifies:

What quantum computers can realistically do today Why expectations must be managed How hybrid approaches dominate current usage

It prepares the ground for understanding industry investment and real business cases.

🔮 What’s Next?

👉 Which industries are already investing billions in quantum computing?

Quantum’s Plot Twist: How 2025 Made Superposition Suddenly Useful Quantum computing has been the ultimate “maybe one day” technology for years—equal parts physics magic and marketing slideware. But 2025 quietly changed the script. This was the year quantum machines started solving real scientific problems faster than classical supercomputers, and materials scientists unveiled a new semiconductor…

The race to power the next generation of artificial intelligence is no longer just about bigger data centers or faster GPUs. It’s about reimagining the very architecture of computing. In August 2025, IBM and AMD announced a landmark alliance: a plan to integrate IBM’s quantum computing breakthroughs with AMD’s high-performance classical processors and accelerators. IBM and AMD join forces to…

The winds of change are relentless, sweeping through ‌social and economic landscapes, leaving no corner untouched. As industries grapple with these ongoing disruptions, the call for foresight grows louder. Leaders who dare to look beyond the horizon know the key to future success lies in embracing the tools of tomorrow, today.

Imagine an organization standing on the edge of a vast and unknown future. The path forward is fraught with challenges, yet illuminated by the promise of innovation. To forge ahead safely, leaders must anchor their strategies in ‌transformative technologies destined to redefine the business landscape by 2025. These trends won’t just solve problems—they will dismantle barriers to productivity, security, and innovation, paving the way for a brighter, bolder future.

This is no ordinary moment in history. It’s a thrilling chapter where businesses and visionaries find themselves in the interaction of ambition and opportunity. The technological forces emerging now promise to astonish us, as they challenge conventions and open doors to uncharted possibilities.

Let’s step forward and explore the revolutionary tech trends of 2025 that will force and dominate the decade ahead. They will leave a lasting impact on businesses and societies worldwide. These are not just trends; they are the harbingers of a new era, and the story of their influence is only just beginning.

Theme 1: AI Imperatives and Risks Drive Organizational Protections

Trend 1: Agentic AI

Autonomous AI systems can independently plan and execute actions to achieve user-defined goals.

Business Benefits: Agentic AI empowers businesses with a virtual workforce of intelligent agents. These agents enhance productivity by automating repetitive tasks, augmenting human decision-making, and supporting traditional applications. This creates seamless collaboration between human employees and AI systems, leading to increased operational efficiency.

Challenges: To prevent unintended consequences, robust guardrails are essential. These guardrails ensure artificial intelligence systems align with the intentions of both providers and users. Without these safeguards, businesses risk losing control over AI actions, leading to potential ethical and operational issues.

Trend 2: AI Governance Platforms

Companies adopt platforms to manage AI’s legal, ethical, and operational dimensions effectively.

Business Benefits: Governance platforms help establish and enforce policies for responsible AI usage. They provide transparency to build trust by explaining AI decision-making processes and managing model lifecycles. This fosters accountability, making it easier for stakeholders to rely on AI systems.

Challenges: Global and industry-specific AI guidelines vary significantly, making consistent practices difficult. Businesses must navigate these complexities to ensure compliance while maintaining operational efficiency.

Trend 3: Disinformation Security

New technologies are emerging to discern trustworthiness systematically and combat false information.

Business Benefits: Disinformation security reduces fraud by verifying identities through advanced controls. It prevents account takeovers using continuous risk scoring and adaptive trust models. Moreover, it safeguards brand reputation by identifying and countering harmful narratives quickly.

Challenges: This requires a dynamic, multilayered, and adaptive approach involving continuous learning and collaboration. Staying ahead of evolving threats demands significant resource investment and a skilled team.

Theme 2: New Frontiers in Computing Prompt Organizations to Rethink Their Strategies

Trend 4: Post-Quantum Cryptography (PQC)

Protecting ‌sensitive data against quantum computing’s decryption capabilities. The steps of post-quantum cryptography in the above image will give you the exact knowledge about its process.

Business Benefits: PQC algorithms ensure data remains secure despite quantum computing advancements. This proactive approach minimizes the long-term risks of unauthorized access to critical information.

Challenges: Transitioning to PQC is complex, as current algorithms are not direct replacements for existing systems. Applications may experience performance issues, requiring extensive testing and potential rewrites.

Trend 5: Ambient Invisible Intelligence

Technology seamlessly integrates into environments to create intuitive and natural user experiences.

Business Benefits: Ambient intelligence enables cost-effective, real-time tracking of items, improving visibility and operational efficiency. It offers new ways to verify authenticity, track object history, and report properties, opening doors to innovative use cases.

Challenges: Privacy concerns arise from continuous data collection. Providers must secure consent and ensure compliance. Users may disable tracking features to protect their privacy, limiting effectiveness.

Trend 6: Energy-Efficient Computing

Enhancing sustainability through optimized hardware, efficient algorithms, and renewable energy.

Business Benefits: Businesses address regulatory and societal demands for sustainability by lowering carbon footprints. This also reduces operational costs over time, contributing to long-term financial benefits.

Challenges: Adopting energy-efficient technologies requires new hardware, tools, and skills. Migrating to green platforms can be expensive and time-consuming. Rising energy prices during the green transition may create short-term cost pressures.

Trend 7: Hybrid Computing

A fusion of diverse computing, storage, and networking solutions to tackle complex challenges.

Business Benefits: Hybrid computing delivers unparalleled efficiency and speed, driving transformative innovation. It powers advanced AI systems, autonomous businesses, and real-time personalization, unlocking new levels of human-machine collaboration.

Challenges: These nascent technologies demand specialized expertise and high upfront investment. Managing autonomous modules introduces security risks and requires seamless integration and orchestration across systems.

Theme 3: Human-Machine Bridges Physical and Digital Realms

Trend 8: Spatial Computing

Enhancing the physical world with immersive technologies like augmented reality (AR) and virtual reality (VR).

Business Benefits: Spatial computing transforms industries like gaming, education, and e-commerce with engaging, interactive experiences. It also empowers sectors like healthcare and manufacturing with advanced visualization tools for better decision-making.

Challenges: High costs and bulky hardware, like head-mounted displays, limit widespread adoption. Privacy concerns, complex interfaces, and safety risks pose additional barriers.

Trends 9: Polyfunctional Robots

Robots are capable of performing multiple tasks and switching roles seamlessly.

Business Benefits: These robots increase efficiency and offer faster ROI. Their flexible deployment reduces infrastructure requirements, making them scalable and adaptable. They complement human efforts, ensuring operational continuity.

Challenges: The lack of industry standards for pricing and functionality complicates adoption. Organizations face challenges in identifying cost-effective and versatile solutions.

Trend 10: Neurological Enhancement

Boosting cognitive capabilities through technologies that decode and interface with brain activity.

Business Benefits: Neurological enhancements enable personalized education, improved workplace safety, and extended career longevity for older workers. They also open doors for next-generation marketing and human upskilling.

Challenges: These technologies are expensive and limited by mobility and battery constraints. Security risks arise from brain-machine interfaces directly interacting with neural activity. Ethical concerns, such as altering perceptions, must also be addressed.

Conclusion

In a world buzzing with innovation, technology is no longer just a backdrop; it’s the star of the show. Across the globe, there are new advancements emerging and evolving, by shaping the way we live, work, and connect. These technological breakthroughs aren’t just fleeting sparks; they hold immense promise for today and the future, lighting the way to a world full of untapped potential.

Picture an organization standing at a crossroads, where the old ways meet the new. The choice is clear: embrace these transformative trends or risk being left behind in a rapidly advancing landscape. By leaning into innovation and fostering the skills that align with these changes, businesses can unlock doors to growth, resilience, and meaningful impact.

This isn’t just about survival—it’s about thriving in a tech-driven world. It’s about adapting to the rhythm of progress and dancing to the tune of possibility. For those willing to seize this moment, the rewards are boundless, and the journey promises to be one of transformation and triumph.

GPU Computing: An Introduction

by Matthew N. O. Sadiku | Adedamola A. Omotoso | Sarhan M. Musa "GPU Computing: An Introduction" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, 

URL: https://www.ijtsrd.com/papers/ijtsrd29648.pdf  

Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/29648/gpu-computing-an-introduction/matthew-n-o-sadiku

ugc approved science journal, languages journal, research papers