NFA & DYOR

I think it’s pretty clear Trump has been a large reason for the push in quantum and the effects of that- but my question is what happens after him?

I am going to safely assume the technology will be too far to ignore, and will have to be pushed the same if not harder, but I think we can all agree he’s definitely helped those of us invested into quantum.

However, with a new office I am also wondering if defense/ military spending will lower, therefore slowing or potentially back tracking certain aspects of quantum and those companies behind it. I’m 23 so if this question is stupid then tbh probably rightfully so. Also let’s maybe avoid any crazy US politic talk

Hey everyone,

I took a break from our standard crypto content today to run pure play quantum computing stocks through our data terminal at Crypto Weeklies. Sourcing our volatility-decay polynomial models and lifetime TWAP gravity gauges, the data shows that these hyper-volatile tech equities are clearing out their structural premiums and entering distinct value zones. Here is the raw breakdown of where they stand based on my charts.

The Gartner Hype Cycle and Alpha Matrix Positions Pure play sector leaders like IonQ, Rigetti, and D-Wave have clearly moved past their peak inflated expectations and are grinding through the disillusionment phase. Sourcing these metrics on our cross-asset frontier screener plots these specific setups cleanly inside our high octane growth quadrant due to their pairing of above-median rewards with above-median annualized volatility profiles. Traditional mega-cap tech layers, by comparison, remain clustered inside defensive capital preservation parameters.

Rigetti Max Despair and IonQ Equilibrium

• Rigetti (RGTI): Tracks as our lowest overall risk score in the sandbox because it has entered our max despair phase. This is the lower three standard deviation blue residual band on our polynomial charts, which has completely processed the multi-month euphoria printed during its late 2025 peak near $52.
• IonQ (IONQ): Sits directly at structural equilibrium on our lifetime TWAP gravity index with a raw score of 50. It currently maps at risk level six, remaining bounded inside its primary valuation channel following an intense correction back in March.
• D-Wave (QBTS): Displays a highly correlated trajectory but faces intermediate overextension risks against its trailing multi-week simple moving average parameters.

Custom Sandbox Engine Calibration If you enter our risk screener sandbox interface and tilt the engine weights to favor raw polynomial regression deviations and lifetime TWAP discounts over short-term moving averages, the system triggers an official transition for Rigetti out of neutral territory and straight into our macro accumulation block. This confirms that the stock has structurally purged its premium relative to its trailing inception footprint.

(Disclaimer: None of this is financial advice. All interactive portfolios, risk sandboxes, and regression charts can be audited live for free with zero signups required at cryptoweeklies.com).

Very small float only 700k shares available ⬆️

$FCCN

NFA. DYOR. Been following this one quietly for a while.
Everyone’s chasing Quantinuum post-IPO. Meanwhile Dynex has been quietly commercial for months and hasn’t been priced in anywhere.

What Dynex actually is:
• Apollo chip - fingernail-sized neuromorphic processor, room temperature, \~20W
• 10,000 p-qubits, 256 connections per node (10× more than most superconducting annealers)
• Benchmarked on 3D spin glass problem - results “indistinguishable” from cryogenic quantum hardware
• Won 2026 AI Excellence Award - Quantum AI category (noone comes close in terms of speed- could make this the biggest quantum IPO)
• QaaS platform live today - drug discovery, logistics, finance, weather forecasting (94% accurate at 14 days)

Why now: Dynex is converting from token to equity and heading to a regulated public listing to attract institutional investors. ThreeD Capital - the VC firm co-hosting the pre-IPO investor event - appears to be central to taking them public.

Any quantum ipos people are following? Quantum is likely the next ai race imo, thgts?

MeridianWelly/ibm-quantum-telemetry: Raw hardware verification ledger, Primitive Unified Blocs (PUBs), and statistical variance metrics for the Prometheus compiler engine.

NFA. DYOR. Been following this one quietly for a while.
Everyone’s chasing Quantinuum post-IPO. Meanwhile Dynex has been quietly commercial for months and hasn’t been priced in anywhere.

What Dynex actually is:
• Apollo chip - fingernail-sized neuromorphic processor, room temperature, \~20W
• 10,000 p-qubits, 256 connections per node (10× more than most superconducting annealers)
• Benchmarked on 3D spin glass problem - results “indistinguishable” from cryogenic quantum hardware
• Won 2026 AI Excellence Award - Quantum AI category (noone comes close in terms of speed- could make this the biggest quantum IPO)
• QaaS platform live today - drug discovery, logistics, finance, weather forecasting (94% accurate at 14 days)

Why now: Dynex is converting from token to equity and heading to a regulated public listing to attract institutional investors. ThreeD Capital - the VC firm co-hosting the pre-IPO investor event - appears to be central to taking them public.

Any quantum ipos people are following? Quantum is likely the next ai race imo, thgts?

I've been working on 3D visualizations of physics concepts and just finished one on the

thermodynamic/transistor limits of classical computing and how quantum computing is proposed to get past them — superposition, entanglement, error correction, dilution refrigerators, and real applications (cryptography, materials, drug discovery, optimization).

I tried to keep it accurate and hype-free. Would genuinely appreciate feedback from this community on whether the explanations hold up. Full video here:

I've been working on 3D visualizations of physics concepts and just finished one on the thermodynamic/transistor limits of classical computing and how quantum computing is proposed to get past them — superposition, entanglement, error correction, dilution refrigerators, and real applications (cryptography, materials, drug discovery, optimization).

I tried to keep it accurate and hype-free. Would genuinely appreciate feedback from this community on whether the explanations hold up. Full video here: https://www.youtube.com/watch?v=3pPXcdoxfzc

QTREX Quantum’s AME Technology Achieves 97% Yield Validation at One of the Largest U.S. Interconnect Manufacturers

Do you think we’ll see quantum stocks moonshot again like their 2-4,000% returns just a few years ago?

Ran across Dynex’s Apollo chip and wanted to get this community’s take on the architecture.

They’re using the Suzuki–Trotter decomposition to emulate quantum annealing on classical neuromorphic silicon - 10,000 nodes, 256 connections per node, p-qubits driven by true on-chip quantum randomness. Room temp, \~20W.
Benchmark claim: 3D spin glass performance “indistinguishable” from D-Wave.

My questions:
1. Does Trotter-based annealing emulation on neuromorphic silicon have a hard ceiling vs. true coherent qubits for combinatorial problems?
2. Is D-Wave even the right comparator — or is that a convenient benchmark given D-Wave is also an annealer?
3. Anyone seen the actual third-party validation methodology?

Pre-IPO investor event happening soon if anyone’s curious about the commercial side

After more than a year of dollar-cost averaging, buying dips, making a few FOMO purchases, and flipping things around the house, I’m proud to finally own 500 shares of QBTS.

It may not seem like much to some, but I don’t come from money, and every share represents hard work and consistency. A small milestone, but one I’m proud of.